Studies on the mechanism of action on antitumour imidazotetrazinones

The imidazotetrazinones are clinically active antitumour agents, temozolomide currently proving successful in the treatment of melanomas and gliomas. The exact nature of the biological processes underlying response are as yet unclear.This thesis attempts to identify the cellular targets important to the cytotoxicity of imidazotetrazinones, to elucidate the pathways by which this damage leads to cell death, and to identify mechanisms by which tumour cells may circumvent this action. The levels of the DNA repair enzymes O6-alkylguanine-DNA-alkyltransferase (O6-AGAT) and 3-methyladenine-DNA-glycosylase (3MAG) have been examined in a range of murine and human cell lines with differential sensitivity to temozolomide. All the cell lines were proficient in 3MAG despite there being 40-fold difference in sensitivity to temozolomide. This suggests that while 3-methyladenine is a major product of temozolomide alkylation of DNA it is unlikely to be a cytotoxic lesion. In contrast, there was a 20-fold variation in O6-AGAT levels and the concentration of this repair enzyme correlated with variations in cytotoxicity. Furthermore, depletion of this enzyme in a resistant, O6-AGAT proficient cell line (Raji), by pre-treatment with the free base O6-methylguanine resulted in 54% sensitisation to the effects of temozolomide. These observations have been extended to 3 glioma cell lines; results that support the view that the cytotoxicity of temozolomide is related to alkylation at the O6-position of guanine and that resistance to this drug is determined by efficient repair of this lesion. It is clear, however, the other factors may influence tumour response since temozolomide showed little differential activity towards 3 established solid murine tumours in vivo, despite different tumour O6-AGAT levels. Unlike mitozolomide, temozolomide is incapable of cross-linking DNA and a mechanism by which O6-methylguanine may exert lethality is unclear. The cytotoxicity of the methyl group may be due to its disruption of DNA-protein interactions, or alternatively cell death may not be a direct result of the alkyl group itself, but manifested by DNA single-strand breaks. Enhanced alkaline elution rates were found for the DNA of Raji cells treated with temozolomide following alkyltransferase depletion, suggesting a relationship between O6-methylguanine and the induction single-strand breaks. Such breaks can activate poly(ADP-ribose) synthetase (ADPRT) an enzyme capable of rapid and lethal depletion of cellular NAD levels. However, at concentrations of temozolomlde relevant in vivo little change in adenine nucleotides was detected in cell lines, although this enzyme would appear important in modulating DNA repair since inhibition of ADPRT potentiated temozolomide cytotoxicity in Raji cells but not O6-AGAT deficient GM892A cells. Cell lines have been reported that are O6-AGAT deficient yet resistant to methylating agents. Thus, resistance to temozolomide may arise not only by removal of the methyl group from the O6-position of guanine, but also from another mechanism involving caffeine-sensitive post-replication repair or mismatch repair activity. A modification of the standard Maxam Gilbert sequencing technique was used to determine the sequence specificity of guanine-N7 alkylation. Temozolomide preferentially alkylated runs of guanines with the intensity of reaction increasing with the number of adjacent guanines in the DNA sequence. Comparable results were obtained with a polymerase-stop assay, although neither technique elucidates the sequence specificity of O6-guanine alkylation. The importance of such specificity to cytotoxicity is uncertain, although guanine-rich sequences are common to the promoter regions of oncogenes. Expression of a plasmid reporter gene under the control of the Ha-ras proto~oncogene promoter was inhibited by alkylation with temozolomide when transfected into cancer cell lines, However, this inhibition did not appear to be related to O6~guanine alkylation and therefore would seem unimportant to the chemotherapeutic activity of temozolomide.

Biomedical events extraction using the hidden vector state model

Objective: Biomedical events extraction concerns about events describing changes on the state of bio-molecules from literature. Comparing to the protein-protein interactions (PPIs) extraction task which often only involves the extraction of binary relations between two proteins, biomedical events extraction is much harder since it needs to deal with complex events consisting of embedded or hierarchical relations among proteins, events, and their textual triggers. In this paper, we propose an information extraction system based on the hidden vector state (HVS) model, called HVS-BioEvent, for biomedical events extraction, and investigate its capability in extracting complex events. Methods and material: HVS has been previously employed for extracting PPIs. In HVS-BioEvent, we propose an automated way to generate abstract annotations for HVS training and further propose novel machine learning approaches for event trigger words identification, and for biomedical events extraction from the HVS parse results. Results: Our proposed system achieves an F-score of 49.57% on the corpus used in the BioNLP'09 shared task, which is only 2.38% lower than the best performing system by UTurku in the BioNLP'09 shared task. Nevertheless, HVS-BioEvent outperforms UTurku's system on complex events extraction with 36.57% vs. 30.52% being achieved for extracting regulation events, and 40.61% vs. 38.99% for negative regulation events. Conclusions: The results suggest that the HVS model with the hierarchical hidden state structure is indeed more suitable for complex event extraction since it could naturally model embedded structural context in sentences.

Peptide binding to the HLA-DRB1 supertype:a proteochemometrics analysis

A proteochemometrics approach was applied to a set of 2666 peptides binding to 12 HLA-DRB1 proteins. Sequences of both peptide and protein were described using three z-descriptors. Cross terms accounting for adjacent positions and for every second position in the peptides were included in the models, as well as cross terms for peptide/protein interactions. Models were derived based on combinations of different blocks of variables. These models had moderate goodness of fit, as expressed by r2, which ranged from 0.685 to 0.732; and good cross-validated predictive ability, as expressed by q2, which varied from 0.678 to 0.719. The external predictive ability was tested using a set of 356 HLA-DRB1 binders, which showed an r2(pred) in the range 0.364-0.530. Peptide and protein positions involved in the interactions were analyzed in terms of hydrophobicity, steric bulk and polarity.

Biomedical relation extraction:from binary to complex

Biomedical relation extraction aims to uncover high-quality relations from life science literature with high accuracy and efficiency. Early biomedical relation extraction tasks focused on capturing binary relations, such as protein-protein interactions, which are crucial for virtually every process in a living cell. Information about these interactions provides the foundations for new therapeutic approaches. In recent years, more interests have been shifted to the extraction of complex relations such as biomolecular events. While complex relations go beyond binary relations and involve more than two arguments, they might also take another relation as an argument. In the paper, we conduct a thorough survey on the research in biomedical relation extraction. We first present a general framework for biomedical relation extraction and then discuss the approaches proposed for binary and complex relation extraction with focus on the latter since it is a much more difficult task compared to binary relation extraction. Finally, we discuss challenges that we are facing with complex relation extraction and outline possible solutions and future directions.

Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation

Background: DNA-binding proteins play a pivotal role in various intra- and extra-cellular activities ranging from DNA replication to gene expression control. Identification of DNA-binding proteins is one of the major challenges in the field of genome annotation. There have been several computational methods proposed in the literature to deal with the DNA-binding protein identification. However, most of them can't provide an invaluable knowledge base for our understanding of DNA-protein interactions. Results: We firstly presented a new protein sequence encoding method called PSSM Distance Transformation, and then constructed a DNA-binding protein identification method (SVM-PSSM-DT) by combining PSSM Distance Transformation with support vector machine (SVM). First, the PSSM profiles are generated by using the PSI-BLAST program to search the non-redundant (NR) database. Next, the PSSM profiles are transformed into uniform numeric representations appropriately by distance transformation scheme. Lastly, the resulting uniform numeric representations are inputted into a SVM classifier for prediction. Thus whether a sequence can bind to DNA or not can be determined. In benchmark test on 525 DNA-binding and 550 non DNA-binding proteins using jackknife validation, the present model achieved an ACC of 79.96%, MCC of 0.622 and AUC of 86.50%. This performance is considerably better than most of the existing state-of-the-art predictive methods. When tested on a recently constructed independent dataset PDB186, SVM-PSSM-DT also achieved the best performance with ACC of 80.00%, MCC of 0.647 and AUC of 87.40%, and outperformed some existing state-of-the-art methods. Conclusions: The experiment results demonstrate that PSSM Distance Transformation is an available protein sequence encoding method and SVM-PSSM-DT is a useful tool for identifying the DNA-binding proteins. A user-friendly web-server of SVM-PSSM-DT was constructed, which is freely accessible to the public at the web-site on http://bioinformatics.hitsz.edu.cn/PSSM-DT/.

Bioinformatic analysis for exploring relationships between genes and gene products

To carry out their specific roles in the cell, genes and gene products often work together in groups, forming many relationships among themselves and with other molecules. Such relationships include physical protein-protein interaction relationships, regulatory relationships, metabolic relationships, genetic relationships, and much more. With advances in science and technology, some high throughput technologies have been developed to simultaneously detect tens of thousands of pairwise protein-protein interactions and protein-DNA interactions. However, the data generated by high throughput methods are prone to noise. Furthermore, the technology itself has its limitations, and cannot detect all kinds of relationships between genes and their products. Thus there is a pressing need to investigate all kinds of relationships and their roles in a living system using bioinformatic approaches, and is a central challenge in Computational Biology and Systems Biology. This dissertation focuses on exploring relationships between genes and gene products using bioinformatic approaches. Specifically, we consider problems related to regulatory relationships, protein-protein interactions, and semantic relationships between genes. A regulatory element is an important pattern or "signal", often located in the promoter of a gene, which is used in the process of turning a gene "on" or "off". Predicting regulatory elements is a key step in exploring the regulatory relationships between genes and gene products. In this dissertation, we consider the problem of improving the prediction of regulatory elements by using comparative genomics data. With regard to protein-protein interactions, we have developed bioinformatics techniques to estimate support for the data on these interactions. While protein-protein interactions and regulatory relationships can be detected by high throughput biological techniques, there is another type of relationship called semantic relationship that cannot be detected by a single technique, but can be inferred using multiple sources of biological data. The contributions of this thesis involved the development and application of a set of bioinformatic approaches that address the challenges mentioned above. These included (i) an EM-based algorithm that improves the prediction of regulatory elements using comparative genomics data, (ii) an approach for estimating the support of protein-protein interaction data, with application to functional annotation of genes, (iii) a novel method for inferring functional network of genes, and (iv) techniques for clustering genes using multi-source data.

Development and Characterization of Monovalent and Bivalent RNA Aptamers Targeting the Common Pathway of Coagulation

Anticoagulant agents are commonly used drugs to reduce blood coagulation in acute and chronic clinical settings. Many of these drugs target the common pathway of coagulation because it is critical for thrombin generation and disruption of this portion of the pathway has profound effects on the hemostatic process. Currently available drugs for these indications struggle with balancing desired activity with immunogenicity and poor reversibility or irreversibility in the event of hemorrhage. While improvements are being made with the current drugs, new drugs with better therapeutic indices are needed for surgical intervention and chronic indications to prevent thrombosis from occurring.

A class of therapeutics known as aptamers may be able to meet the need for safer anticoagulant agents. Aptamer are short single-stranded RNA oligonucleotides that adopt specific secondary and tertiary structures based upon their sequence. They can be generated to both enzymes and cofactors because they derive their inhibitory activity by blocking protein-protein interactions, rather than active site inhibition. They inhibit their target proteins with a high level of specificity and bind with high affinity to their target. Additionally, they can be reversed using two different antidote approaches, specific oligonucleotide antidotes, or with cationic, “universal” antidotes. The reversal of their activity is both rapid and durable.

The ability of aptamers to be generated to cofactors has been conclusively proven by generating an aptamer targeting the common pathway coagulation cofactor, Factor V (FV). We developed two aptamers with anticoagulant ability that bind to both FV and FVa, the active cofactor. Both aptamers were truncated to smaller functional sizes and had specific point mutant aptamers developed for use as controls. The anticoagulant activity of both aptamer-mutant pairs was characterized using plasma-based clotting assays and whole blood assays. The mechanism of action resulting in anticoagulant activity was assessed for one aptamer. The aptamer was found to block FVa docking to membrane surfaces, a mechanism not previously observed in any of our other anticoagulant aptamers.

To explore development of aptamers as anticoagulant agents targeting the common pathway for surgical interventions, we fused two anticoagulant aptamers targeting Factor X and prothrombin into a single molecule. The bivalent aptamer was truncated to a minimal size while maintaining robust anticoagulant activity. Characterization of the bivalent aptamer in plasma-based clotting assays indicated we had generated a very robust anticoagulant therapeutic. Furthermore, we were able to simultaneously reverse the activity of both aptamers with a single oligonucleotide antidote. This rapid and complete reversal of anticoagulant activity is not available in the antithrombotic agents currently used in surgery.

Characterisation of an ubiquitin binding CUE domain in presenilin-1

The presenilins are the catalytic component of the gamma-secretase protease complex, involved in the regulated intramembrane proteolysis of numerous type-1 transmembrane proteins, including Amyloid precursor protein (APP) and Notch. In addition to their role in the γ-secretase complex the presenilins are involved in a number of γ-secretase independent functions such as calcium homeostasis, apoptosis, inflammation and protein trafficking. Presenilin function is known to be regulated through posttranslational modifications like endoproteolysis, phosphorylation and ubiquitination. Using a bioinformatics and protein sequence analysis approach this lab has identified a putative ubiquitin binding CUE domain in the presenilins. The aim of this project was to characterise the function of the presenilin CUE domains. Firstly, the presenilins are shown to contain a functional ubiquitin-binding CUE domain that preferentially binds to K63-linked polyubiquitin chains. The PS1 CUE domain is shown to be dispensable for PS1 endoproteolysis and γ-secretase mediated cleavage of APP, Notch and IL-1R1. This suggests the PS1 CUE domain is involved in a γ-secretase independent PS1 function. Our hypothesis is that the PS1 CUE domain is involved in regulating PS1’s intermolecular protein-protein interactions or intramolecular PS1:PS1 interactions. Here the PS1 CUE domain is shown to be dispensable for the interaction of PS1 and the K63-linked polyubiquitinated PS1 interacting proteins P75NTR, IL-1R1, TRAF6, TRAF2 and RIP1. To further investigate PS1 CUE domain function a mass spectrometry proteomics based approach is used to identify PS1 CUE domain interacting proteins. This proteomics approach demonstrated that the PS1 CUE domain is not required for PS1 dimerization. Instead a number of proteins thatinteract with the PS1 CUE domain are identified as well as proteins whose interaction with PS1 is downregulated by the presence of the PS1 CUE domain. Bioinformatic analysis of these proteins suggests possible roles for the PS1 CUE domain in regulating cell signalling, ubiquitination or cellular trafficking.

Étude des mécanismes d’extraction lipidique par le peptide mélittine et la protéine BSP1

Les peptides et protéines extracteurs de lipides (PEL) se lient aux membranes lipidiques puis en extraient des lipides en formant de plus petits auto-assemblages, un phénomène qui peut aller jusqu'à la fragmentation des membranes. Dans la nature, cette extraction se produit sur une gamme de cellules et entraîne des conséquences variées, comme la modification de la composition de la membrane et la mort de la cellule. Cette thèse se penche sur l’extraction lipidique, ou fragmentation, induite par le peptide mélittine et la protéine Binder-of-SPerm 1 (BSP1) sur des membranes lipidiques modèles. Pour ce faire, des liposomes de différentes compositions sont préparés et incubés avec la mélittine ou la BSP1. L'association aux membranes est déterminée par la fluorescence intrinsèque des PEL, tandis que l'extraction est caractérisée par une plateforme analytique combinant des tests colorimétriques et des analyses en chromatographie en phase liquide et spectrométrie de masse (LCMS). La mélittine fait partie des peptides antimicrobiens cationiques, un groupe de PEL très répandu chez les organismes vivants. Ces peptides sont intéressants du point du vue médical étant donné leur mode d’action qui vise directement les lipides des membranes. Plusieurs de ceux-ci agissent sur les membranes des bactéries selon le mécanisme dit « en tapis », par lequel ils s’adsorbent à leur surface, forment des pores et ultimement causent leur fragmentation. Dans cette thèse, la mélittine est utilisée comme peptide modèle afin d’étudier le mécanisme par lequel les peptides antimicrobiens cationiques fragmentent les membranes. Les résultats montrent que la fragmentation des membranes de phosphatidylcholines (PC) est réduite par une déméthylation graduelle de leur groupement ammonium. L'analyse du matériel fragmenté révèle que les PC sont préférentiellement extraites des membranes, dû à un enrichissement local en PC autour de la mélittine à l'intérieur de la membrane. De plus, un analogue de la mélittine, dont la majorité des résidus cationiques sont neutralisés, est utilisé pour évaluer le rôle du caractère cationique de la mélittine native. La neutralisation augmente l'affinité du peptide pour les membranes neutres et anioniques, réduit la fragmentation des membranes neutres et augmente la fragmentation des membranes anioniques. Malgré les interactions électrostatiques entre le peptide cationique et les lipides anioniques, aucune spécificité lipidique n'est observée dans l'extraction. La BSP1 est la protéine la plus abondante du liquide séminal bovin et constitue un autre exemple de PEL naturel important. Elle se mélange aux spermatozoïdes lors de l’éjaculation et extrait des lipides de leur membrane, notamment le cholestérol et les phosphatidylcholines. Cette étape cruciale modifie la composition lipidique de la membrane du spermatozoïde, ce qui faciliterait par la suite la fécondation de l’ovule. Cependant, le contact prolongé de la protéine avec les spermatozoïdes endommagerait la semence. Cette thèse cherche donc à approfondir notre compréhension de ce délicat phénomène en étudiant le mécanisme moléculaire par lequel la protéine fragmente les membranes lipidiques. Les résultats des présents travaux permettent de proposer un mécanisme d’extraction lipidique en 3 étapes : 1) L'association à l’interface des membranes; 2) La relocalisation de l’interface vers le cœur lipidique; 3) La fragmentation des membranes. La BSP1 se lie directement à deux PC à l'interface; une quantité suffisante de PC dans les membranes est nécessaire pour permettre l'association et la fragmentation. Cette liaison spécifique ne mène généralement pas à une extraction lipidique sélective. L'impact des insaturations des chaînes lipidiques, de la présence de lysophosphatidylcholines, de phosphatidyléthanolamine, de cholestérol et de lipides anioniques est également évalué. Les présentes observations soulignent la complexe relation entre l'affinité d'un PEL pour une membrane et le niveau de fragmentation qu'il induit. L'importance de la relocalisation des PEL de l'interface vers le cœur hydrophobe des membranes pour permettre leur fragmentation est réitérée. Cette fragmentation semble s'accompagner d'une extraction lipidique préférentielle seulement lorsqu'une séparation de phase est induite au niveau de la membrane, nonobstant les interactions spécifiques PEL-lipide. Les prévalences des structures amphiphiles chez certains PEL, ainsi que de la fragmentation en auto-assemblages discoïdaux sont discutées. Finalement, le rôle des interactions électrostatiques entre les peptides antimicrobiens cationiques et les membranes bactériennes anioniques est nuancé : les résidus chargés diminueraient l'association des peptides aux membranes neutres suite à l'augmentation de leur énergie de solvatation.

Hybrid Diphenylalkyne-Dipeptide Oligomers Induce Multistrand β-Sheet Formation

Functionalized diphenylalkynes provide a template for the presentation of protein-like surfaces composed of multistrand β-sheets. The conformational properties of three-, four-, and seven-stranded systems have been investigated in the solid- and solution-state. This class of molecule may be suitable for the mediation of therapeutically relevant protein-protein interactions.

β-Strand mimetic foldamers rigidified through dipolar repulsion

Many therapeutically relevant protein-protein interactions contain hot-spot regions on secondary structural elements, which contribute disproportionately to binding enthalpy. Mimicry of such α-helical regions has met with considerable success, however the analogous approach for the β-strand has received less attention. Presented herein is a foldamer for strand mimicry in which dipolar repulsion is a central determinant of conformation. Computation as well as solution- and solid-phase data are consistent with an ensemble weighted almost exclusively in favor of the desired conformation.

Low-dose salinomycin induces anti-leukemic responses in AML and MLL

Development of anti-cancer drugs towards clinical application is costly and inefficient. Large screens of drugs, efficacious for non-cancer disease, are currently being used to identify candidates for repurposing based on their anti-cancer properties. Here, we show that low-dose salinomycin, a coccidiostat ionophore previously identified in a breast cancer screen, has anti-leukemic efficacy. AML and MLLr cell lines, primary cells and patient samples were sensitive to submicromolar salinomycin. Most strikingly, colony formation of normal hematopoietic cells was unaffected by salinomycin, demonstrating a lack of hemotoxicity at the effective concentrations. Furthermore, salinomycin treatment of primary cells resulted in loss of leukemia repopulation ability following transplantation, as demonstrated by extended recipient survival compared to controls. Bioinformatic analysis of a 17-gene signature identified and validated in primary MLLr cells, uncovered immunomodulatory pathways, hubs and protein interactions as potential transducers of low dose salinomycin treatment. Additionally, increased protein expression of p62/Sqstm1, encoded for by one of the 17 signature genes, demonstrates a role for salinomycin in aggresome/vesicle formation indicative of an autophagic response.
Together, the data support the efficacy of salinomycin as an anti-leukemic at non-hemotoxic concentrations. Further investigation alone or in combination with other therapies is warranted for future clinical trial.

LAP1 interactome and its functional features throughout spermatogenesis

The lamina-associated polypeptide 1 (LAP1) is a type II transmembrane protein of the inner nuclear membrane encoded by the human gene TOR1AIP1. LAP1 is involved in maintaining the nuclear envelope structure and appears be involved in the positioning of lamins and chromatin. In the nuclear envelope, LAP1 is suggested to exist as a complex with A-type and B-type lamins, torsins and emerin. The presence of such complexes suggests that LAP1 may cooperate functionally with these proteins in tissues where they play a critical role. Therefore, the identification of LAP1 binding partners and the signalling pathways where LAP1 participates, is crucial for a better understanding of LAP1 functions. The work described in this thesis addresses novel human LAP1 associated proteins found through bioinformatic tools. Public databases allowed for the discovery of the LAP1 interactome, which was manually curated, identifying several functionally relevant proteins. Subsequently, the integration of multiple bioinformatic tools established novel functions to LAP1 such as DNA damage response and telomere association. In conjunction, bioinformatic results also reinforced the association of LAP1 with mitosis, and the already identified role of LAP1 in nuclear morphology. Interestingly, this association of LAP1 with the regulation of the nuclear envelope structure and mitosis progression, shares functional elements with spermatogenesis. Therefore, this work additionally described the localization of LAP1 and some of its interactors throughout the spermatogenic cycle, in mouse and human testis. The results established that the activity of LAP1 during the mouse spermatogenic cycle is most evident from stage VIII until the end of spermiogenesis, which is characteristic of manchette development. Concomitantly, some LAP1 interactors studied in this work share a similar localization, namely, PP1γ2, Lamin B1 and Lamin A/C. The results obtained from the study of LAP1 throughout different periods of the male reproductive system attributed potential new biological functions to LAP1. Thereby, this work can be the foundation of future studies regarding LAP1 and the regulation of multiple cellular processes and disease conditions.

Étude des mécanismes d’extraction lipidique par le peptide mélittine et la protéine BSP1

Les peptides et protéines extracteurs de lipides (PEL) se lient aux membranes lipidiques puis en extraient des lipides en formant de plus petits auto-assemblages, un phénomène qui peut aller jusqu'à la fragmentation des membranes. Dans la nature, cette extraction se produit sur une gamme de cellules et entraîne des conséquences variées, comme la modification de la composition de la membrane et la mort de la cellule. Cette thèse se penche sur l’extraction lipidique, ou fragmentation, induite par le peptide mélittine et la protéine Binder-of-SPerm 1 (BSP1) sur des membranes lipidiques modèles. Pour ce faire, des liposomes de différentes compositions sont préparés et incubés avec la mélittine ou la BSP1. L'association aux membranes est déterminée par la fluorescence intrinsèque des PEL, tandis que l'extraction est caractérisée par une plateforme analytique combinant des tests colorimétriques et des analyses en chromatographie en phase liquide et spectrométrie de masse (LCMS). La mélittine fait partie des peptides antimicrobiens cationiques, un groupe de PEL très répandu chez les organismes vivants. Ces peptides sont intéressants du point du vue médical étant donné leur mode d’action qui vise directement les lipides des membranes. Plusieurs de ceux-ci agissent sur les membranes des bactéries selon le mécanisme dit « en tapis », par lequel ils s’adsorbent à leur surface, forment des pores et ultimement causent leur fragmentation. Dans cette thèse, la mélittine est utilisée comme peptide modèle afin d’étudier le mécanisme par lequel les peptides antimicrobiens cationiques fragmentent les membranes. Les résultats montrent que la fragmentation des membranes de phosphatidylcholines (PC) est réduite par une déméthylation graduelle de leur groupement ammonium. L'analyse du matériel fragmenté révèle que les PC sont préférentiellement extraites des membranes, dû à un enrichissement local en PC autour de la mélittine à l'intérieur de la membrane. De plus, un analogue de la mélittine, dont la majorité des résidus cationiques sont neutralisés, est utilisé pour évaluer le rôle du caractère cationique de la mélittine native. La neutralisation augmente l'affinité du peptide pour les membranes neutres et anioniques, réduit la fragmentation des membranes neutres et augmente la fragmentation des membranes anioniques. Malgré les interactions électrostatiques entre le peptide cationique et les lipides anioniques, aucune spécificité lipidique n'est observée dans l'extraction. La BSP1 est la protéine la plus abondante du liquide séminal bovin et constitue un autre exemple de PEL naturel important. Elle se mélange aux spermatozoïdes lors de l’éjaculation et extrait des lipides de leur membrane, notamment le cholestérol et les phosphatidylcholines. Cette étape cruciale modifie la composition lipidique de la membrane du spermatozoïde, ce qui faciliterait par la suite la fécondation de l’ovule. Cependant, le contact prolongé de la protéine avec les spermatozoïdes endommagerait la semence. Cette thèse cherche donc à approfondir notre compréhension de ce délicat phénomène en étudiant le mécanisme moléculaire par lequel la protéine fragmente les membranes lipidiques. Les résultats des présents travaux permettent de proposer un mécanisme d’extraction lipidique en 3 étapes : 1) L'association à l’interface des membranes; 2) La relocalisation de l’interface vers le cœur lipidique; 3) La fragmentation des membranes. La BSP1 se lie directement à deux PC à l'interface; une quantité suffisante de PC dans les membranes est nécessaire pour permettre l'association et la fragmentation. Cette liaison spécifique ne mène généralement pas à une extraction lipidique sélective. L'impact des insaturations des chaînes lipidiques, de la présence de lysophosphatidylcholines, de phosphatidyléthanolamine, de cholestérol et de lipides anioniques est également évalué. Les présentes observations soulignent la complexe relation entre l'affinité d'un PEL pour une membrane et le niveau de fragmentation qu'il induit. L'importance de la relocalisation des PEL de l'interface vers le cœur hydrophobe des membranes pour permettre leur fragmentation est réitérée. Cette fragmentation semble s'accompagner d'une extraction lipidique préférentielle seulement lorsqu'une séparation de phase est induite au niveau de la membrane, nonobstant les interactions spécifiques PEL-lipide. Les prévalences des structures amphiphiles chez certains PEL, ainsi que de la fragmentation en auto-assemblages discoïdaux sont discutées. Finalement, le rôle des interactions électrostatiques entre les peptides antimicrobiens cationiques et les membranes bactériennes anioniques est nuancé : les résidus chargés diminueraient l'association des peptides aux membranes neutres suite à l'augmentation de leur énergie de solvatation.

A New Multi-Objective Approach for Molecular Docking Based on RMSD and Binding Energy

Ligand-protein docking is an optimization problem based on predicting the position of a ligand with the lowest binding energy in the active site of the receptor. Molecular docking problems are traditionally tackled with single-objective, as well as with multi-objective approaches, to minimize the binding energy. In this paper, we propose a novel multi-objective formulation that considers: the Root Mean Square Deviation (RMSD) difference in the coordinates of ligands and the binding (intermolecular) energy, as two objectives to evaluate the quality of the ligand-protein interactions. To determine the kind of Pareto front approximations that can be obtained, we have selected a set of representative multi-objective algorithms such as NSGA-II, SMPSO, GDE3, and MOEA/D. Their performances have been assessed by applying two main quality indicators intended to measure convergence and diversity of the fronts. In addition, a comparison with LGA, a reference single-objective evolutionary algorithm for molecular docking (AutoDock) is carried out. In general, SMPSO shows the best overall results in terms of energy and RMSD (value lower than 2A for successful docking results). This new multi-objective approach shows an improvement over the ligand-protein docking predictions that could be promising in in silico docking studies to select new anticancer compounds for therapeutic targets that are multidrug resistant.