Computational investigation of the Plasmodium falciparum fatty acid biosynthetic pathway toward the discovery of novel antimalarials

The structural peculiarities of a protein are related to its biological function. In the fatty acid elongation cycle, one small carrier protein shuttles and delivers the acyl intermediates from one enzyme to the other. The carrier has to recognize several enzymatic counterparts, specifically interact with each of them, and finally transiently deliver the carried substrate to the active site. Carry out such a complex game requires the players to be flexible and efficiently adapt their structure to the interacting protein or substrate. In a drug discovery effort, the structure-function relationships of a target system should be taken into account to optimistically interfere with its biological function. In this doctoral work, the essential role of structural plasticity in key steps of fatty acid biosynthesis in Plasmodium falciparum is investigated by means of molecular simulations. The key steps considered include the delivery of acyl substrates and the structural rearrangements of catalytic pockets upon ligand binding. The ground-level bases for carrier/enzyme recognition and interaction are also put forward. The structural features of the target have driven the selection of proper drug discovery tools, which captured the dynamics of biological processes and could allow the rational design of novel inhibitors. The model may be perspectively used for the identification of novel pathway-based antimalarial compounds.

Machine learning tools for protein annotation: the cases of transmembrane β-barrel and myristoylated proteins

Biology is now a “Big Data Science” thanks to technological advancements allowing the characterization of the whole macromolecular content of a cell or a collection of cells. This opens interesting perspectives, but only a small portion of this data may be experimentally characterized. From this derives the demand of accurate and efficient computational tools for automatic annotation of biological molecules. This is even more true when dealing with membrane proteins, on which my research project is focused leading to the development of two machine learning-based methods: BetAware-Deep and SVMyr. BetAware-Deep is a tool for the detection and topology prediction of transmembrane beta-barrel proteins found in Gram-negative bacteria. These proteins are involved in many biological processes and primary candidates as drug targets. BetAware-Deep exploits the combination of a deep learning framework (bidirectional long short-term memory) and a probabilistic graphical model (grammatical-restrained hidden conditional random field). Moreover, it introduced a modified formulation of the hydrophobic moment, designed to include the evolutionary information. BetAware-Deep outperformed all the available methods in topology prediction and reported high scores in the detection task. Glycine myristoylation in Eukaryotes is the binding of a myristic acid on an N-terminal glycine. SVMyr is a fast method based on support vector machines designed to predict this modification in dataset of proteomic scale. It uses as input octapeptides and exploits computational scores derived from experimental examples and mean physicochemical features. SVMyr outperformed all the available methods for co-translational myristoylation prediction. In addition, it allows (as a unique feature) the prediction of post-translational myristoylation. Both the tools here described are designed having in mind best practices for the development of machine learning-based tools outlined by the bioinformatics community. Moreover, they are made available via user-friendly web servers. All this make them valuable tools for filling the gap between sequential and annotated data.

Caratterizzazione del legame di molecole di interesse farmaceutico alla sieroalbumina umana mediante biocromatografia e dicroismo circolare

Negli ultimi anni, un crescente numero di studiosi ha focalizzato la propria attenzione sullo sviluppo di strategie che permettessero di caratterizzare le proprietà ADMET dei farmaci in via di sviluppo, il più rapidamente possibile. Questa tendenza origina dalla consapevolezza che circa la metà dei farmaci in via di sviluppo non viene commercializzato perché ha carenze nelle caratteristiche ADME, e che almeno la metà delle molecole che riescono ad essere commercializzate, hanno comunque qualche problema tossicologico o ADME [1]. Infatti, poco importa quanto una molecola possa essere attiva o specifica: perché possa diventare farmaco è necessario che venga ben assorbita, distribuita nell’organismo, metabolizzata non troppo rapidamente, ne troppo lentamente e completamente eliminata. Inoltre la molecola e i suoi metaboliti non dovrebbero essere tossici per l’organismo. Quindi è chiaro come una rapida determinazione dei parametri ADMET in fasi precoci dello sviluppo del farmaco, consenta di risparmiare tempo e denaro, permettendo di selezionare da subito i composti più promettenti e di lasciar perdere quelli con caratteristiche negative. Questa tesi si colloca in questo contesto, e mostra l’applicazione di una tecnica semplice, la biocromatografia, per caratterizzare rapidamente il legame di librerie di composti alla sieroalbumina umana (HSA). Inoltre mostra l’utilizzo di un’altra tecnica indipendente, il dicroismo circolare, che permette di studiare gli stessi sistemi farmaco-proteina, in soluzione, dando informazioni supplementari riguardo alla stereochimica del processo di legame. La HSA è la proteina più abbondante presente nel sangue. Questa proteina funziona da carrier per un gran numero di molecole, sia endogene, come ad esempio bilirubina, tiroxina, ormoni steroidei, acidi grassi, che xenobiotici. Inoltre aumenta la solubilità di molecole lipofile poco solubili in ambiente acquoso, come ad esempio i tassani. Il legame alla HSA è generalmente stereoselettivo e ad avviene a livello di siti di legame ad alta affinità. Inoltre è ben noto che la competizione tra farmaci o tra un farmaco e metaboliti endogeni, possa variare in maniera significativa la loro frazione libera, modificandone l’attività e la tossicità. Per queste sue proprietà la HSA può influenzare sia le proprietà farmacocinetiche che farmacodinamiche dei farmaci. Non è inusuale che un intero progetto di sviluppo di un farmaco possa venire abbandonato a causa di un’affinità troppo elevata alla HSA, o a un tempo di emivita troppo corto, o a una scarsa distribuzione dovuta ad un debole legame alla HSA. Dal punto di vista farmacocinetico, quindi, la HSA è la proteina di trasporto del plasma più importante. Un gran numero di pubblicazioni dimostra l’affidabilità della tecnica biocromatografica nello studio dei fenomeni di bioriconoscimento tra proteine e piccole molecole [2-6]. Il mio lavoro si è focalizzato principalmente sull’uso della biocromatografia come metodo per valutare le caratteristiche di legame di alcune serie di composti di interesse farmaceutico alla HSA, e sul miglioramento di tale tecnica. Per ottenere una miglior comprensione dei meccanismi di legame delle molecole studiate, gli stessi sistemi farmaco-HSA sono stati studiati anche con il dicroismo circolare (CD). Inizialmente, la HSA è stata immobilizzata su una colonna di silice epossidica impaccata 50 x 4.6 mm di diametro interno, utilizzando una procedura precedentemente riportata in letteratura [7], con alcune piccole modifiche. In breve, l’immobilizzazione è stata effettuata ponendo a ricircolo, attraverso una colonna precedentemente impaccata, una soluzione di HSA in determinate condizioni di pH e forza ionica. La colonna è stata quindi caratterizzata per quanto riguarda la quantità di proteina correttamente immobilizzata, attraverso l’analisi frontale di L-triptofano [8]. Di seguito, sono stati iniettati in colonna alcune soluzioni raceme di molecole note legare la HSA in maniera enantioselettiva, per controllare che la procedura di immobilizzazione non avesse modificato le proprietà di legame della proteina. Dopo essere stata caratterizzata, la colonna è stata utilizzata per determinare la percentuale di legame di una piccola serie di inibitori della proteasi HIV (IPs), e per individuarne il sito(i) di legame. La percentuale di legame è stata calcolata attraverso il fattore di capacità (k) dei campioni. Questo parametro in fase acquosa è stato estrapolato linearmente dal grafico log k contro la percentuale (v/v) di 1-propanolo presente nella fase mobile. Solamente per due dei cinque composti analizzati è stato possibile misurare direttamente il valore di k in assenza di solvente organico. Tutti gli IPs analizzati hanno mostrato un’elevata percentuale di legame alla HSA: in particolare, il valore per ritonavir, lopinavir e saquinavir è risultato maggiore del 95%. Questi risultati sono in accordo con dati presenti in letteratura, ottenuti attraverso il biosensore ottico [9]. Inoltre, questi risultati sono coerenti con la significativa riduzione di attività inibitoria di questi composti osservata in presenza di HSA. Questa riduzione sembra essere maggiore per i composti che legano maggiormente la proteina [10]. Successivamente sono stati eseguiti degli studi di competizione tramite cromatografia zonale. Questo metodo prevede di utilizzare una soluzione a concentrazione nota di un competitore come fase mobile, mentre piccole quantità di analita vengono iniettate nella colonna funzionalizzata con HSA. I competitori sono stati selezionati in base al loro legame selettivo ad uno dei principali siti di legame sulla proteina. In particolare, sono stati utilizzati salicilato di sodio, ibuprofene e valproato di sodio come marker dei siti I, II e sito della bilirubina, rispettivamente. Questi studi hanno mostrato un legame indipendente dei PIs ai siti I e II, mentre è stata osservata una debole anticooperatività per il sito della bilirubina. Lo stesso sistema farmaco-proteina è stato infine investigato in soluzione attraverso l’uso del dicroismo circolare. In particolare, è stato monitorata la variazione del segnale CD indotto di un complesso equimolare [HSA]/[bilirubina], a seguito dell’aggiunta di aliquote di ritonavir, scelto come rappresentante della serie. I risultati confermano la lieve anticooperatività per il sito della bilirubina osservato precedentemente negli studi biocromatografici. Successivamente, lo stesso protocollo descritto precedentemente è stato applicato a una colonna di silice epossidica monolitica 50 x 4.6 mm, per valutare l’affidabilità del supporto monolitico per applicazioni biocromatografiche. Il supporto monolitico monolitico ha mostrato buone caratteristiche cromatografiche in termini di contropressione, efficienza e stabilità, oltre che affidabilità nella determinazione dei parametri di legame alla HSA. Questa colonna è stata utilizzata per la determinazione della percentuale di legame alla HSA di una serie di poliamminochinoni sviluppati nell’ambito di una ricerca sulla malattia di Alzheimer. Tutti i composti hanno mostrato una percentuale di legame superiore al 95%. Inoltre, è stata osservata una correlazione tra percentuale di legame è caratteristiche della catena laterale (lunghezza e numero di gruppi amminici). Successivamente sono stati effettuati studi di competizione dei composti in esame tramite il dicroismo circolare in cui è stato evidenziato un effetto anticooperativo dei poliamminochinoni ai siti I e II, mentre rispetto al sito della bilirubina il legame si è dimostrato indipendente. Le conoscenze acquisite con il supporto monolitico precedentemente descritto, sono state applicate a una colonna di silice epossidica più corta (10 x 4.6 mm). Il metodo di determinazione della percentuale di legame utilizzato negli studi precedenti si basa su dati ottenuti con più esperimenti, quindi è necessario molto tempo prima di ottenere il dato finale. L’uso di una colonna più corta permette di ridurre i tempi di ritenzione degli analiti, per cui la determinazione della percentuale di legame alla HSA diventa molto più rapida. Si passa quindi da una analisi a medio rendimento a una analisi di screening ad alto rendimento (highthroughput- screening, HTS). Inoltre, la riduzione dei tempi di analisi, permette di evitare l’uso di soventi organici nella fase mobile. Dopo aver caratterizzato la colonna da 10 mm con lo stesso metodo precedentemente descritto per le altre colonne, sono stati iniettati una serie di standard variando il flusso della fase mobile, per valutare la possibilità di utilizzare flussi elevati. La colonna è stata quindi impiegata per stimare la percentuale di legame di una serie di molecole con differenti caratteristiche chimiche. Successivamente è stata valutata la possibilità di utilizzare una colonna così corta, anche per studi di competizione, ed è stata indagato il legame di una serie di composti al sito I. Infine è stata effettuata una valutazione della stabilità della colonna in seguito ad un uso estensivo. L’uso di supporti cromatografici funzionalizzati con albumine di diversa origine (ratto, cane, guinea pig, hamster, topo, coniglio), può essere proposto come applicazione futura di queste colonne HTS. Infatti, la possibilità di ottenere informazioni del legame dei farmaci in via di sviluppo alle diverse albumine, permetterebbe un migliore paragone tra i dati ottenuti tramite esperimenti in vitro e i dati ottenuti con esperimenti sull’animale, facilitando la successiva estrapolazione all’uomo, con la velocità di un metodo HTS. Inoltre, verrebbe ridotto anche il numero di animali utilizzati nelle sperimentazioni. Alcuni lavori presenti in letteratura dimostrano l’affidabilita di colonne funzionalizzate con albumine di diversa origine [11-13]: l’utilizzo di colonne più corte potrebbe aumentarne le applicazioni.

Computational methods for the analysis of protein structure and function

The vast majority of known proteins have not yet been experimentally characterized and little is known about their function. The design and implementation of computational tools can provide insight into the function of proteins based on their sequence, their structure, their evolutionary history and their association with other proteins. Knowledge of the three-dimensional (3D) structure of a protein can lead to a deep understanding of its mode of action and interaction, but currently the structures of <1% of sequences have been experimentally solved. For this reason, it became urgent to develop new methods that are able to computationally extract relevant information from protein sequence and structure. The starting point of my work has been the study of the properties of contacts between protein residues, since they constrain protein folding and characterize different protein structures. Prediction of residue contacts in proteins is an interesting problem whose solution may be useful in protein folding recognition and de novo design. The prediction of these contacts requires the study of the protein inter-residue distances related to the specific type of amino acid pair that are encoded in the so-called contact map. An interesting new way of analyzing those structures came out when network studies were introduced, with pivotal papers demonstrating that protein contact networks also exhibit small-world behavior. In order to highlight constraints for the prediction of protein contact maps and for applications in the field of protein structure prediction and/or reconstruction from experimentally determined contact maps, I studied to which extent the characteristic path length and clustering coefficient of the protein contacts network are values that reveal characteristic features of protein contact maps. Provided that residue contacts are known for a protein sequence, the major features of its 3D structure could be deduced by combining this knowledge with correctly predicted motifs of secondary structure. In the second part of my work I focused on a particular protein structural motif, the coiled-coil, known to mediate a variety of fundamental biological interactions. Coiled-coils are found in a variety of structural forms and in a wide range of proteins including, for example, small units such as leucine zippers that drive the dimerization of many transcription factors or more complex structures such as the family of viral proteins responsible for virus-host membrane fusion. The coiled-coil structural motif is estimated to account for 5-10% of the protein sequences in the various genomes. Given their biological importance, in my work I introduced a Hidden Markov Model (HMM) that exploits the evolutionary information derived from multiple sequence alignments, to predict coiled-coil regions and to discriminate coiled-coil sequences. The results indicate that the new HMM outperforms all the existing programs and can be adopted for the coiled-coil prediction and for large-scale genome annotation. Genome annotation is a key issue in modern computational biology, being the starting point towards the understanding of the complex processes involved in biological networks. The rapid growth in the number of protein sequences and structures available poses new fundamental problems that still deserve an interpretation. Nevertheless, these data are at the basis of the design of new strategies for tackling problems such as the prediction of protein structure and function. Experimental determination of the functions of all these proteins would be a hugely time-consuming and costly task and, in most instances, has not been carried out. As an example, currently, approximately only 20% of annotated proteins in the Homo sapiens genome have been experimentally characterized. A commonly adopted procedure for annotating protein sequences relies on the "inheritance through homology" based on the notion that similar sequences share similar functions and structures. This procedure consists in the assignment of sequences to a specific group of functionally related sequences which had been grouped through clustering techniques. The clustering procedure is based on suitable similarity rules, since predicting protein structure and function from sequence largely depends on the value of sequence identity. However, additional levels of complexity are due to multi-domain proteins, to proteins that share common domains but that do not necessarily share the same function, to the finding that different combinations of shared domains can lead to different biological roles. In the last part of this study I developed and validate a system that contributes to sequence annotation by taking advantage of a validated transfer through inheritance procedure of the molecular functions and of the structural templates. After a cross-genome comparison with the BLAST program, clusters were built on the basis of two stringent constraints on sequence identity and coverage of the alignment. The adopted measure explicity answers to the problem of multi-domain proteins annotation and allows a fine grain division of the whole set of proteomes used, that ensures cluster homogeneity in terms of sequence length. A high level of coverage of structure templates on the length of protein sequences within clusters ensures that multi-domain proteins when present can be templates for sequences of similar length. This annotation procedure includes the possibility of reliably transferring statistically validated functions and structures to sequences considering information available in the present data bases of molecular functions and structures.

Use of solvents and environmental friendly materials for applications in Green Chemistry

The present Thesis studies three alternative solvent groups as sustainable replacement of traditional organic solvents. Some aspects of fluorinated solvents, supercritical fluids and ionic liquids, have been analysed with a critical approach and their effective “greenness” has been evaluated from the points of view of the synthesis, the properties and the applications. In particular, the attention has been put on the environmental and human health issues, evaluating the eco-toxicity, the toxicity and the persistence, to underline that applicability and sustainability are subjects with equal importance. The “green” features of fluorous solvents and supercritical fluids are almost well-established; in particular supercritical carbon dioxide (scCO2) is probably the “greenest” solvent among the alternative solvent systems developed in the last years, enabling to combine numerous advantages both from the point of view of industrial/technological applications and eco-compatibility. In the Thesis the analysis of these two classes of alternative solvents has been mainly focused on their applicability, rather than the evaluation of their environmental impact. Specifically they have been evaluated as alternative media for non-aqueous biocatalysis. For this purpose, the hydrophobic ion pairing (HIP), which allows solubilising enzymes in apolar solvents by an ion pairing between the protein and a surfactant, has been investigated as effective enzymatic derivatisation technique to improve the catalytic activity under homogeneous conditions in non conventional media. The results showed that the complex enzyme-surfactant was much more active both in fluorous solvents and in supercritical carbon dioxide than the native form of the enzyme. Ionic liquids, especially imidazolium salts, have been proposed some years ago as “fully green” alternative solvents; however this epithet does not take into account several “brown” aspects such as their synthesis from petro-chemical starting materials, their considerable eco-toxicity, toxicity and resistance to biodegradation, and the difficulty of clearly outline applications in which ionic liquids are really more advantageous than traditional solvents. For all of these reasons in this Thesis a critical analysis of ionic liquids has been focused on three main topics: i) alternative synthesis by introducing structural moieties which could reduce the toxicity of the most known liquid salts, and by using starting materials from renewable resources; ii) on the evaluation of their environmental impact through eco-toxicological tests (Daphnia magna and Vibrio fischeri acute toxicity tests, and algal growth inhibition), toxicity tests (MTT test, AChE inhibition and LDH release tests) and fate and rate of aerobic biodegradation in soil and water; iii) and on the demonstration of their effectiveness as reaction media in organo-catalysis and as extractive solvents in the recovery of vegetable oil from terrestrial and aquatic biomass. The results about eco-toxicity tests with Daphnia magna, Vibrio fischeri and algae, and toxicity assay using cultured cell lines, clearly indicate that the difference in toxicity between alkyl and oxygenated cations relies in differences of polarity, according to the general trend of decreasing toxicity by decreasing the lipophilicity. Independently by the biological approach in fact, all the results are in agreement, showing a lower toxicity for compounds with oxygenated lateral chains than for those having purely alkyl lateral chains. These findings indicate that an appropriate choice of cation and anion structures is important not only to design the IL with improved and suitable chemico-physical properties but also to obtain safer and eco-friendly ILs. Moreover there is a clear indication that the composition of the abiotic environment has to be taken into account when the toxicity of ILs in various biological test systems is analysed, because, for example, the data reported in the Thesis indicate a significant influence of salinity variations on algal toxicity. Aerobic biodegradation of four imidazolium ionic liquids, two alkylated and two oxygenated, in soil was evaluated for the first time. Alkyl ionic liquids were shown to be biodegradable over the 6 months test period, and in contrast no significant mineralisation was observed with oxygenated derivatives. A different result was observed in the aerobic biodegradation of alkylated and oxygenated pyridinium ionic liquids in water because all the ionic liquids were almost completely degraded after 10 days, independently by the number of oxygen in the lateral chain of the cation. The synthesis of new ionic liquids by using renewable feedstock as starting materials, has been developed through the synthesis of furan-based ion pairs from furfural. The new ammonium salts were synthesised in very good yields, good purity of the products and wide versatility, combining low melting points with high decomposition temperatures and reduced viscosities. Regarding the possible applications as surfactants and biocides, furan-based salts could be a valuable alternative to benzyltributylammonium salts and benzalkonium chloride that are produced from non-renewable resources. A new procedure for the allylation of ketones and aldehydes with tetraallyltin in ionic liquids was developed. The reaction afforded high yields both in sulfonate-containing ILs and in ILs without sulfonate upon addition of a small amount of sulfonic acid. The checked reaction resulted in peculiar chemoselectivity favouring aliphatic substrates towards aromatic ketones and good stereoselectivity in the allylation of levoglucosenone. Finally ILs-based systems could be easily and successfully recycled, making the described procedure environmentally benign. The potential role of switchable polarity solvents as a green technology for the extraction of vegetable oil from terrestrial and aquatic biomass has been investigated. The extraction efficiency of terrestrial biomass rich in triacylglycerols, as soy bean flakes and sunflower seeds, was comparable to those of traditional organic solvents, being the yield of vegetable oils recovery very similar. Switchable polarity solvents as been also exploited for the first time in the extraction of hydrocarbons from the microalga Botryococcus braunii, demonstrating the efficiency of the process for the extraction of both dried microalgal biomass and directly of the aqueous growth medium. The switchable polarity solvents exhibited better extraction efficiency than conventional solvents, both with dried and liquid samples. This is an important issue considering that the harvest and the dewatering of algal biomass have a large impact on overall costs and energy balance.

The effect of osmolytes on protein fold stability at the single-molecule level

By pulling and releasing the tension on protein homomers with the Atomic Force Miscroscope (AFM) at different pulling speeds, dwell times and dwell distances, the observed force-response of the protein can be fitted with suitable theoretical models. In this respect we developed mathematical procedures and open-source computer codes for driving such experiments and fitting Bell’s model to experimental protein unfolding forces and protein folding frequencies. We applied the above techniques to the study of proteins GB1 (the B1 IgG-binding domain of protein G from Streptococcus) and I27 (a module of human cardiac titin) in aqueous solutions of protecting osmolytes such as dimethyl sulfoxide (DMSO), glycerol and trimethylamine N-oxide (TMAO). In order to get a molecular understanding of the experimental results we developed an Ising-like model for proteins that incorporates the osmophobic nature of their backbone. The model benefits from analytical thermodynamics and kinetics amenable to Monte-Carlo simulation. The prevailing view used to be that small protecting osmolytes bridge the separating beta-strands of proteins with mechanical resistance, presumably shifting the transition state to significantly higher distances that correlate with the molecular size of the osmolyte molecules. Our experiments showed instead that protecting osmolytes slow down protein unfolding and speed-up protein folding at physiological pH without shifting the protein transition state on the mechanical reaction coordinate. Together with the theoretical results of the Ising-model, our results lend support to the osmophobic theory according to which osmolyte stabilisation is a result of the preferential exclusion of the osmolyte molecules from the protein backbone. The results obtained during this thesis work have markedly improved our understanding of the strategy selected by Nature to strengthen protein stability in hostile environments, shifting the focus from hypothetical protein-osmolyte interactions to the more general mechanism based on the osmophobicity of the protein backbone.

Preclinical evaluation of a MYCN-specific inhibitor for the treatment of small cell lung cancer

Small cell lung cancer (SCLC) is the most aggressive form of lung cancer, characterized by rapid growth, early metastasis and acquired drug resistance. SCLC is usually sensitive to initial treatment, however, most patients relapse within few months; thus more effective therapies are urgently needed. Key genetic alterations very frequently observed in SCLC include loss of TP53 and RB1 and mutations in the MYC family genes (MYC, MYCL or MYCN). One of them is amplified and overexpressed in a mutually exclusive manner and represents the most prominent activating oncogene alteration in this malignancy. In particular, MYCN amplification is associated with tumor progression, treatment failure and poor prognosis. Given the role of MYCN in SCLC and its restricted expression profile, MYCN represents a promising therapeutic target; although it is considered undruggable by traditional approaches. An innovative approach to target the oncogene concerns specific MYCN expression inhibition, acting directly at the level of DNA, through an antigene peptide nucleic acid (agPNA) oligonucleotide, called BGA002. This thesis focused on the study of BGA002, as a possible targeted therapeutic strategy for the treatment of MYCN-related SCLC. In this context, BGA002 proved to be a specific and highly effective inhibitor. Furthermore, MYCN silencing induced alterations in many downstream pathways and led to apoptosis, in concomitance with autophagy reactivation. Moreover, systemic administration of BGA002 was effective in vivo as well, significantly increasing survival in MNA mouse models, even in the scenario of multidrug-resistance. In addition, BGA002 treatment successfully reduced N-Myc protein expression and, more importantly, caused a massive diminishment in tumor vascularization in the multidrug-resistant model. Overall, these results proved that MYCN inhibition by BGA002 may represent a new promising precision medicine approach, to treat MYCN-related SCLC.