Ecophysiological response of Sorghum halepense populations to reduced rates of nicosulfuron

The control and regrowth after nicosulfuron reduced rate treatment of Johnsongrass (Sorghum halepense L. Pers.) populations, from seven Argentinean locations, were evaluated in pot experiments to assess if differential performance could limit the design and implementation of integrated weed management programs. Populations from humid regions registered a higher sensibility to reduced rates of nicosulfuron than populations from subhumid regions. This effect was visualised in the values of regression coefficient of the non-linear models (relating fresh weight to nicosulfuron rate), and in the time needed to obtain a 50% reduction of photosynthesis rate and stomatal conductance. The least leaf CO2 exchange of subhumid populations could result in a lower foliar absorption and translocation of nicosulfuron, thus producing less control and increasing their ability to sprout and produce new aerial biomass. The three populations from subhumid regions, with less sensibility to nicosulfuron rates, presented substantial difference in fresh weight, total rhizome length and number of rhizome nodes, when they were evaluated 20 week after treatment. In consequence, a substantial Johnsongrass re-infestation could occur, if rates below one-half of nicosulfuron labeled rate were used to control Johnsongrass in subhumid regions.

Techniques for CT and MR, post-processing, radiation.

Brain perfusion can be assessed by CT and MR. For CT, two major techniquesare used. First, Xenon CT is an equilibrium technique based on a freely diffusibletracer. First pass of iodinated contrast injected intravenously is a second method,more widely available. Both methods are proven to be robust and quantitative,thanks to the linear relationship between contrast concentration and x-ray attenuation.For the CT methods, concern regarding x-ray doses delivered to the patientsneed to be addressed. MR is also able to assess brain perfusion using the firstpass of gadolinium based contrast agent injected intravenously. This method hasto be considered as a semi-quantitative because of the non linear relationshipbetween contrast concentration and MR signal changes. Arterial spin labelingis another MR method assessing brain perfusion without injection of contrast. Insuch case, the blood flow in the carotids is magnetically labelled by an externalradiofrequency pulse and observed during its first pass through the brain. Eachof this various CT and MR techniques have advantages and limits that will be illustratedand summarised.Learning Objectives:1. To understand and compare the different techniques for brain perfusionimaging.2. To learn about the methods of acquisition and post-processing of brainperfusion by first pass of contrast agent for CT and MR.3. To learn about non contrast MR methods (arterial spin labelling).

Blind channel deconvolution of real world signals using source separation techniques

In this paper we present a method for blind deconvolution of linear channels based on source separation techniques, for real word signals. This technique applied to blind deconvolution problems is based in exploiting not the spatial independence between signals but the temporal independence between samples of the signal. Our objective is to minimize the mutual information between samples of the output in order to retrieve the original signal. In order to make use of use this idea the input signal must be a non-Gaussian i.i.d. signal. Because most real world signals do not have this i.i.d. nature, we will need to preprocess the original signal before the transmission into the channel. Likewise we should assure that the transmitted signal has non-Gaussian statistics in order to achieve the correct function of the algorithm. The strategy used for this preprocessing will be presented in this paper. If the receiver has the inverse of the preprocess, the original signal can be reconstructed without the convolutive distortion.

Blind Inversion of Wiener Systems

A system in which a linear dynamic part is followed by a non linear memoryless distortion a Wiener system is blindly inverted This kind of systems can be modelised as a postnonlinear mixture and using some results about these mixtures an e cient algorithm is proposed Results in a hard situation are presented and illustrate the e ciency of this algorithm

Dynamic models of energy allocation and investment

In dynamic models of energy allocation, assimilated energy is allocated to reproduction, somatic growth, maintenance or storage, and the allocation pattern can change with age. The expected evolutionary outcome is an optimal allocation pattern, but this depends on the environment experienced during the evolutionary process and on the fitness costs and benefits incurred by allocating resources in different ways. Here we review existing treatments which encompass some of the possibilities as regards constant or variable environments and their predictability or unpredictability, and the ways in which production rates and mortality rates depend on body size and composition and age and on the pattern of energy allocation. The optimal policy is to allocate resources where selection pressures are highest, and simultaneous allocation to several body subsystems and reproduction can be optimal if these pressures are equal. This may explain balanced growth commonly observed during ontogeny. Growth ceases at maturity in many models; factors favouring growth after maturity include non-linear trade-offs, variable season length, and production and mortality rates both increasing (or decreasing) functions of body size. We cannot yet say whether these are sufficient to account for the many known cases of growth after maturity and not all reasonable models have yet been explored. Factors favouring storage are also reviewed.

Systemic exposure to tobramycin after local antibiotic treatment with calcium sulphate as carrier material.

INTRODUCTION: Osteoset(®) T is a calcium sulphate void filler containing 4% tobramycin sulphate, used to treat bone and soft tissue infections. Despite systemic exposure to the antibiotic, there are no pharmacokinetic studies in humans published so far. Based on the observations made in our patients, a model predicting tobramycin serum levels and evaluating their toxicity potential is presented. METHODS: Following implantation of Osteoset(®) T, tobramycin serum concentrations were monitored systematically. A pharmacokinetic analysis was performed using a non-linear mixed effects model based on a one compartment model with first-degree absorption. RESULTS: Data from 12 patients treated between October 2006 and March 2008 were analysed. Concentration profiles were consistent with the first-order slow release and single-compartment kinetics, whilst showing important variability. Predicted tobramycin serum concentrations depended clearly on both implanted drug amount and renal function. DISCUSSION AND CONCLUSION: Despite the popularity of aminoglycosides for local antibiotic therapy, pharmacokinetic data for this indication are scarce, and not available for calcium sulphate as carrier material. Systemic exposure to tobramycin after implantation of Osteoset(®) T appears reassuring regarding toxicity potential, except in case of markedly impaired renal function. We recommend in adapting the dosage to the estimated creatinine clearance rather than solely to the patient's weight.

A critical evaluation of secondary cancer risk models applied to Monte Carlo dose distributions of 2-dimensional, 3-dimensional conformal and hybrid intensity-modulated radiation therapy for breast cancer.

The comparison of radiotherapy techniques regarding secondary cancer risk has yielded contradictory results possibly stemming from the many different approaches used to estimate risk. The purpose of this study was to make a comprehensive evaluation of different available risk models applied to detailed whole-body dose distributions computed by Monte Carlo for various breast radiotherapy techniques including conventional open tangents, 3D conformal wedged tangents and hybrid intensity modulated radiation therapy (IMRT). First, organ-specific linear risk models developed by the International Commission on Radiological Protection (ICRP) and the Biological Effects of Ionizing Radiation (BEIR) VII committee were applied to mean doses for remote organs only and all solid organs. Then, different general non-linear risk models were applied to the whole body dose distribution. Finally, organ-specific non-linear risk models for the lung and breast were used to assess the secondary cancer risk for these two specific organs. A total of 32 different calculated absolute risks resulted in a broad range of values (between 0.1% and 48.5%) underlying the large uncertainties in absolute risk calculation. The ratio of risk between two techniques has often been proposed as a more robust assessment of risk than the absolute risk. We found that the ratio of risk between two techniques could also vary substantially considering the different approaches to risk estimation. Sometimes the ratio of risk between two techniques would range between values smaller and larger than one, which then translates into inconsistent results on the potential higher risk of one technique compared to another. We found however that the hybrid IMRT technique resulted in a systematic reduction of risk compared to the other techniques investigated even though the magnitude of this reduction varied substantially with the different approaches investigated. Based on the epidemiological data available, a reasonable approach to risk estimation would be to use organ-specific non-linear risk models applied to the dose distributions of organs within or near the treatment fields (lungs and contralateral breast in the case of breast radiotherapy) as the majority of radiation-induced secondary cancers are found in the beam-bordering regions.

Pharmacokinetic and pharmacodynamic assessment of valganciclovir in solid organ transplant recipients

RESUME : Valganciclovir (Valcyte®) is an orally administered ester prodrug of the standard anticytomegalovirus (CMV) drug ganciclovir. This drug enabled an important reduction of the burden of CMV morbidity and mortality in solid organ transplant recipients. Prevention of CMV infection and treatment of CMV disease requires drug administration during many weeks. Oral drug administration is therefore convenient. Valganciclovir has been developed to overcome the poor oral availability of ganciclovir, which limits its concentration exposure after oral administration and thus its efficacy. This prodrug crosses efficiently the intestinal barrier, is then hydrolyzed into ganciclovir, providing exposure similar to intravenous ganciclovir. Valganciclovir is now preferred for the prophylaxis and treatment of CMV infection in solid organ transplant recipients. Nevertheless, adequate dosage adjustment is necessary to optimize its use, avoiding either insufficient or exaggerate exposure related to differences in its pharmacokinetic profile between patients. The main goal of this thesis was to better describe the pharmacokinetic and pharmacodynamic profile of valganciclovir in solid organ transplant recipients, to assess their reproducibility and their predictability, and thus to evaluate the current recommendations for valganciclovir dosage adjustment and the potential contribution of routine therapeutic drug monitoring (TDM) to patients' management. A total of 437 ganciclovir plasma concentration data from 65 transplant patients (41 kidney, 12 lung, 10 heart and 2 liver recipients, 58 under oral valganciclovir prophylaxis, 8 under oral valganciclovir treatment and 2 under intravenous ganciclovir) were measured using a validated chromatographic method (HPLC) developed for this study. The results were analyzed by non-linear mixed effect modeling (NONMEM). A two-compartment model with first-order absorption appropriately described the data. Systemic clearance was markedly influenced by GFR, with further differences between graft types and sex (CL/GFR = 1.7 in kidney, 0.9 in heart and 1.2 in lung and liver recipients) with interpatient variability (CV%) of 26% and interoccasion variability of 12%. Body weight and sex influenced central volume of distribution (V1 = 0.34 l/kg in males and 0.27 l/kg in females) with an interpatient variability of 20%. Residual intrapatient variability was 21 %. No significant drug interaction influenced GCV disposition. VGC prophylactic efficacy and tolerability were good, without detectable dependence on GCV profile. In conclusion, this analysis highlights the importance of thorough adjustment of VGC dosage to renal function and body weight. Considering the good predictability and reproducibility of GCV profile after oral VGC in solid organ transplant recipients, routine TDM does not appear to be clinically indicated. However, GCV plasma measurement may still be helpful in specific clinical situations such as documentation of appropriate exposure in patients with potentially compromised absorption, or lack of response to CMV disease treatment, or under renal replacement therapy. RESUME : Le valganciclovir (Valcyte®) est un promédicament oral du ganciclovir qui est un anti-infectieux de référence contre les infections à cytomegalovirus (CMV). Cet antiviral a permis de réduire les effets délétères de cette infection jusqu'ici responsable d'une importante morbidité et mortalité chez les transplantés d'organe. La prévention et le traitement de l'infection à CMV sont donc nécessaires mais requièrent l'administration d'un agent antiviral sur une longue période. Un médicament administré par voie orale représente donc un avantage évident. Le valganciclovir a été développé dans le but d'améliorer la faible absorption orale du ganciclovir, et donc son efficacité. Cet ester valylique du ganciclovir traverse plus facilement la barrière gastro-intestinale, puis est hydrolysé en ganciclovir dans la circulation sanguine, produisant une exposition comparable à celle d'une perfusion intraveineuse de ganciclovir. De ce fait, le valganciclovir est devenu largement utilisé pour la prophylaxie mais aussi le traitement de l'infection à CMV. Néanmoins une utilisation optimale de ce nouveau médicament nécessite de bonnes connaissances sur son profil pharmacocinétique afin d'établir un schéma de dose adapté pour éviter tant une surexposition qu'une sous-exposition résultant des différences d'élimination entre les patients. Le but de cette thèse a été d'étudier le profil pharmacocinétique et pharmacodynamique du valganciclovir chez les transplantés d'organe ainsi que sa reproductibilité et sa prédictibilité. Il s'agissait d'apprécier de manière critique le schéma actuellement recommandé pour l'adaptation des doses de valganciclovir, mais aussi la contribution éventuelle d'un suivi des concentrations sanguines en routine. Un total de 437 taux sanguins de ganciclovir ont été mesurés, provenant de 65 patients transplantés d'organe (41 rénaux, 12 pulmonaires, 10 cardiaques et 2 hépatiques, 58 sous une prophylaxie orale de valganciclovir, 8 sous un traitement de valganciclovir et 2 sous un traitement intraveineux). Une méthode de chromatographie liquide à haute performance a été développée et validée pour cette étude. Les résultats ont été ensuite analysés par modélisation non linéaire à effets mixtes (NONMEM). Un modèle à deux compartiments avec absorption de premier ordre a permis de décrire les données. La clairance systémique était principalement influencée par le débit de filtration glomérulaire (GFR), avec une différence entre les types de greffe et les sexes (CL/GFR = 1.7 chez les greffés rénaux, 0.9 pour les greffés cardiaques et 1.2 pour le groupe des greffés pulmonaires et hépatiques) avec un variabilité inter-individuelle de 26% (CV%) et une variabilité inter-occasion de 12%. Le poids corporel ainsi que le sexe avaient une influence sur le volume central de distribution (V1 = 0.34 l/kg chez les hommes et 0.27 l/kg chez les femmes) avec une variabilité inter-individuelle de 20%. La variabilité intra-individuelle résiduelle était de 21 %. Aucune interaction médicamenteuse n'a montré d'influence sur le profil du ganciclovir. La prophylaxie avec le valganciclovir s'est révélée efficace et bien tolérée. En conclusion, cette analyse souligne l'importance d'une adaptation de la dose du valganciclovir à la fonction rénale et au poids du patient. Au vu de la bonne reproductibilité et prédictibilité du profil pharmacocinétique du ganciclovir chez les patients transplantés recevant du valganciclovir, un suivi des concentrations sanguines en routine ne semble pas cliniquement indiqué. Néanmoins, la mesure des taux plasmatiques de ganciclovir peut être utile dans certaines situations particulières, comme la vérification d'une exposition appropriée chez des patients susceptibles d'absorption insuffisante, ou ne répondant pas au traitement d'une infection à CMV ou encore sous épuration extra-rénale. RESUME LARGE PUBLIC : Le valganciclovir est un précurseur capable de libérer du ganciclovir, récemment développé pour améliorer la faible absorption orale de ce dernier. Une fois le valganciclovir absorbé, le ganciclovir libéré dans la circulation sanguine devient efficace contre les infections à cytomégalovirus. Ce virus largement répandu est responsable de maladies insidieuses et parfois graves chez les personnes présentant une baisse des défenses immunitaires, comme les greffés d'organe recevant un traitement anti-rejet. Le ganciclovir est administré pendant plusieurs mois consécutifs soit pour prévenir une infection après la transplantation, soit pour traiter une infection déclarée. La facilité d'administration du valganciclovir par voie orale représente un avantage sur une administration du ganciclovir par perfusion, qui nécessite une hospitalisation. Toutefois, la voie orale peut être une source supplémentaire de variabilité chez les patients, avec un impact potentiel sur l'efficacité ou la toxicité du médicament. Le but de cette étude a été - de décrire le devenir de ce médicament dans le corps humain (dont l'étude relève de la discipline de la pharmacocinétique) - de définir les facteurs cliniques pouvant expliquer les différences de concentration sanguine observées entre les patients sous une posologie donnée - d'explorer les relations entre les concentrations du médicament dans le sang et son efficacité ou la survenue d'effets indésirables (dont l'étude relève de la discipline de la pharmacodynamie). Cette étude a nécessité le développement et la validation, d'une méthode d'analyse pour mesurer la concentration sanguine du ganciclovir, puis son application à 437 échantillons provenant de 65 patients transplantés d'organe solide (41 rénaux, 12 pulmonaires, 10 cardiaques et 2 hépatiques) recevant du valganciclovir. Les résultats des mesures effectuées ont été analysés à l'aide d'un outil mathématique afin d'élaborer un modèle du devenir du médicament dans le sang chez chaque patient et à chaque occasion. Cette étude a permis d'évaluer chez des patients recevant le valganciclovir, la vitesse à laquelle l'organisme absorbe, distribue, puis élimine le médicament. La vitesse d'élimination dépendait étroitement de la fonction rénale, du type de greffe et du sexe alors que la distribution dépendait du poids et du sexe du patient. La variabilité non expliquée par ces facteurs cliniques était modérée et vraisemblablement sans conséquence clinique évidente soit sur l'efficacité ou la tolérance, qui se révèlent très satisfaisantes chez les patients de l'étude. Les observations n'ont pas révélé de relation entre les concentrations de médicament et l'efficacité thérapeutique ou la survenue d'effets indésirables, confirmant que les doses relativement faibles utilisées dans notre collectif de patients suffisaient à produire une exposition reproductible à des concentrations adéquates. En conclusion, le profil (et par conséquent l'absorption) du valganciclovir chez les patients transplantés semble bien prédictible après une adaptation de la dose à la fonction rénale et au poids du patient. Un contrôle systématique des concentrations sanguines n'est probablement pas indiqué en routine, mais cette mesure peut présenter un intérêt dans certaines conditions particulières.

Holographic collisions in confining theories

We study the gravitational dual of a high-energy collision in a confining gauge theory. We consider a linearized approach in which two point particles traveling in an AdS-soliton background suddenly collide to form an object at rest (presumably a black hole for large enough center-of-mass energies). The resulting radiation exhibits the features expected in a theory with a mass gap: late-time power law tails of the form t −3/2, the failure of Huygens" principle and distortion of the wave pattern as it propagates. The energy spectrum is exponentially suppressed for frequencies smaller than the gauge theory mass gap. Consequently, we observe no memory effect in the gravitational waveforms. At larger frequencies the spectrum has an upward-stairway structure, which corresponds to the excitation of the tower of massive states in the confining gauge theory. We discuss the importance of phenomenological cutoffs to regularize the divergent spectrum, and the aspects of the full non-linear collision that are expected to be captured by our approach.

Aggregation invariance in general clustering approaches

General clustering deals with weighted objects and fuzzy memberships. We investigate the group- or object-aggregation-invariance properties possessed by the relevant functionals (effective number of groups or objects, centroids, dispersion, mutual object-group information, etc.). The classical squared Euclidean case can be generalized to non-Euclidean distances, as well as to non-linear transformations of the memberships, yielding the c-means clustering algorithm as well as two presumably new procedures, the convex and pairwise convex clustering. Cluster stability and aggregation-invariance of the optimal memberships associated to the various clustering schemes are examined as well.

Life designing: A paradigm for career construction in the 21st century

At the beginning of the 21st century, a new social arrangement of work poses a series of questions and challenges to scholars who aim to help people develop their working lives. Given the globalization of career counseling, we decided to address these issues and then to formulate potentially innovative responses in an international forum. We used this approach to avoid the difficulties of creating models and methods in one country and then trying to export them to other countries where they would be adapted for use. This article presents the initial outcome of this collaboration, a counseling model and methods. The life-designing model for career intervention endorses five presuppositions about people and their work lives: contextual possibilities, dynamic processes, non-linear progression, multiple perspectives, and personal patterns. Thinking from these five presuppositions, we have crafted a contextualized model based on the epistemology of social constructionism, particularly recognizing that an individual's knowledge and identity are the product of social interaction and that meaning is co-constructed through discourse. The life-design framework for counseling implements the theories of self-constructing [Guichard, J. (2005). Life-long self-construction. International Journal for Educational and Vocational Guidance, 5, 111-124] and career construction [Savickas, M. L. (2005). The theory and practice of career construction. In S. D. Brown & R. W. Lent (Eds.), Career development and counselling: putting theory and research to work (pp. 42-70). Hoboken, NJ: Wiley] that describe vocational behavior and its development. Thus, the framework is structured to be life-long, holistic, contextual, and preventive.

The Impact of Housing Market Segmentation between Tourists and Residents on the Hedonic Price for Landscape Quality

Market segmentation is an important issue when estimating the implicit price for an environmental amenity from a surrogate market like property. This paper tests the hypothesis of a segmentation of the housing market between tourists and residents and computes the implicit price for natural landscape quality in Swiss alpine resorts. The results show a clear segmentation between both groups of consumers, although tests also show that the estimated coefficient for landscape is similar in the tourists' model and in the residents'. However, since the functional form is non linear, the nominal - rather than relative - value of a change in natural landscape quality is higher in the tourist housing market than in the residents'. Hence, considering the segmentation of the market between tourists and residents is essential in order to provide valid estimates of the nominal implicit price of natural landscape quality.

Estimating parameters for generalized mass action models using constraint propagation.

As modern molecular biology moves towards the analysis of biological systems as opposed to their individual components, the need for appropriate mathematical and computational techniques for understanding the dynamics and structure of such systems is becoming more pressing. For example, the modeling of biochemical systems using ordinary differential equations (ODEs) based on high-throughput, time-dense profiles is becoming more common-place, which is necessitating the development of improved techniques to estimate model parameters from such data. Due to the high dimensionality of this estimation problem, straight-forward optimization strategies rarely produce correct parameter values, and hence current methods tend to utilize genetic/evolutionary algorithms to perform non-linear parameter fitting. Here, we describe a completely deterministic approach, which is based on interval analysis. This allows us to examine entire sets of parameters, and thus to exhaust the global search within a finite number of steps. In particular, we show how our method may be applied to a generic class of ODEs used for modeling biochemical systems called Generalized Mass Action Models (GMAs). In addition, we show that for GMAs our method is amenable to the technique in interval arithmetic called constraint propagation, which allows great improvement of its efficiency. To illustrate the applicability of our method we apply it to some networks of biochemical reactions appearing in the literature, showing in particular that, in addition to estimating system parameters in the absence of noise, our method may also be used to recover the topology of these networks.

Environmental data mining and modeling based on machine learning algorithms and geostatistics

The paper presents some contemporary approaches to spatial environmental data analysis. The main topics are concentrated on the decision-oriented problems of environmental spatial data mining and modeling: valorization and representativity of data with the help of exploratory data analysis, spatial predictions, probabilistic and risk mapping, development and application of conditional stochastic simulation models. The innovative part of the paper presents integrated/hybrid model-machine learning (ML) residuals sequential simulations-MLRSS. The models are based on multilayer perceptron and support vector regression ML algorithms used for modeling long-range spatial trends and sequential simulations of the residuals. NIL algorithms deliver non-linear solution for the spatial non-stationary problems, which are difficult for geostatistical approach. Geostatistical tools (variography) are used to characterize performance of ML algorithms, by analyzing quality and quantity of the spatially structured information extracted from data with ML algorithms. Sequential simulations provide efficient assessment of uncertainty and spatial variability. Case study from the Chernobyl fallouts illustrates the performance of the proposed model. It is shown that probability mapping, provided by the combination of ML data driven and geostatistical model based approaches, can be efficiently used in decision-making process. (C) 2003 Elsevier Ltd. All rights reserved.

Quantitative modelling of transcription factor binding sites

Abstract One of the most important issues in molecular biology is to understand regulatory mechanisms that control gene expression. Gene expression is often regulated by proteins, called transcription factors which bind to short (5 to 20 base pairs),degenerate segments of DNA. Experimental efforts towards understanding the sequence specificity of transcription factors is laborious and expensive, but can be substantially accelerated with the use of computational predictions. This thesis describes the use of algorithms and resources for transcriptionfactor binding site analysis in addressing quantitative modelling, where probabilitic models are built to represent binding properties of a transcription factor and can be used to find new functional binding sites in genomes. Initially, an open-access database(HTPSELEX) was created, holding high quality binding sequences for two eukaryotic families of transcription factors namely CTF/NF1 and LEFT/TCF. The binding sequences were elucidated using a recently described experimental procedure called HTP-SELEX, that allows generation of large number (> 1000) of binding sites using mass sequencing technology. For each HTP-SELEX experiments we also provide accurate primary experimental information about the protein material used, details of the wet lab protocol, an archive of sequencing trace files, and assembled clone sequences of binding sequences. The database also offers reasonably large SELEX libraries obtained with conventional low-throughput protocols.The database is available at http://wwwisrec.isb-sib.ch/htpselex/ and and ftp://ftp.isrec.isb-sib.ch/pub/databases/htpselex. The Expectation-Maximisation(EM) algorithm is one the frequently used methods to estimate probabilistic models to represent the sequence specificity of transcription factors. We present computer simulations in order to estimate the precision of EM estimated models as a function of data set parameters(like length of initial sequences, number of initial sequences, percentage of nonbinding sequences). We observed a remarkable robustness of the EM algorithm with regard to length of training sequences and the degree of contamination. The HTPSELEX database and the benchmarked results of the EM algorithm formed part of the foundation for the subsequent project, where a statistical framework called hidden Markov model has been developed to represent sequence specificity of the transcription factors CTF/NF1 and LEF1/TCF using the HTP-SELEX experiment data. The hidden Markov model framework is capable of both predicting and classifying CTF/NF1 and LEF1/TCF binding sites. A covariance analysis of the binding sites revealed non-independent base preferences at different nucleotide positions, providing insight into the binding mechanism. We next tested the LEF1/TCF model by computing binding scores for a set of LEF1/TCF binding sequences for which relative affinities were determined experimentally using non-linear regression. The predicted and experimentally determined binding affinities were in good correlation.