[Role of charge and hydrophobic effects in reactions of peptide substrates and inhibitors with thrombin]

A substrate and inhibitor analysis of the thrombin interaction with synthetic peptide substrates and inhibitors of differing hydrophobicity and volume of the side amino acid residue, localized in the sub-centers thrombin S2 and S3 were carried out. The kinetic parameters of individual stages of the enzymatic reaction process (K(S), k2, k3) were estimated. It is shown that the efficiency of acylation and deacylation stages of the enzymatic reaction decreases with increasing hydrophobicity of the substituent in P2 as well as P3, at the same time the affinity of selected peptides toward enzyme is steadily increasing. With the aim to evaluate the hydrophobicity of compounds a LogP value was calculated and was made an attempt to compare them with the correspondent Ki values. Comparative kinetic analysis of Z-Arg-OMe and its uncharged analogue Z-Cit-OMe has shown the absence of uncharged analog hydrolysis, however, the mentioned citrulline derivate inhibits the hydrolysis of the charged analogue. These findings confirm the important role of hydrophobic moiety in the structure of thrombin inhibitors in preferential binding mode and inhibition of thrombin active side.

Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information

The Online Chemical Modeling Environment is a web-based platform that aims to automate and simplify the typical steps required for QSAR modeling. The platform consists of two major subsystems: the database of experimental measurements and the modeling framework. A user-contributed database contains a set of tools for easy input, search and modification of thousands of records. The OCHEM database is based on the wiki principle and focuses primarily on the quality and verifiability of the data. The database is tightly integrated with the modeling framework, which supports all the steps required to create a predictive model: data search, calculation and selection of a vast variety of molecular descriptors, application of machine learning methods, validation, analysis of the model and assessment of the applicability domain. As compared to other similar systems, OCHEM is not intended to re-implement the existing tools or models but rather to invite the original authors to contribute their results, make them publicly available, share them with other users and to become members of the growing research community. Our intention is to make OCHEM a widely used platform to perform the QSPR/QSAR studies online and share it with other users on the Web. The ultimate goal of OCHEM is collecting all possible chemoinformatics tools within one simple, reliable and user-friendly resource. The OCHEM is free for web users and it is available online at http://www.ochem.eu.

Virtual computational chemistry laboratory--design and description

Internet technology offers an excellent opportunity for the development of tools by the cooperative effort of various groups and institutions. We have developed a multi-platform software system, Virtual Computational Chemistry Laboratory, http://www.vcclab.org, allowing the computational chemist to perform a comprehensive series of molecular indices/properties calculations and data analysis. The implemented software is based on a three-tier architecture that is one of the standard technologies to provide client-server services on the Internet. The developed software includes several popular programs, including the indices generation program, DRAGON, a 3D structure generator, CORINA, a program to predict lipophilicity and aqueous solubility of chemicals, ALOGPS and others. All these programs are running at the host institutes located in five countries over Europe. In this article we review the main features and statistics of the developed system that can be used as a prototype for academic and industry models.

[Characteristics of interaction of adenylate cyclase modulators and phosphoinositide cell signaling systems with lipid langmuir monolayers]

Interaction of two groups of bioregulators, which oppositely affect activity of adenylate cyclase and phosphoinositide cellular signaling systems, with the Langmuir monolayer films made of natural lecithin was studied. Most significant influence on the structural and energy characteristics of lipid monolayers was revealed for the group of bioregulators, which inhibit polyphosphoinositide signaling system or/and activate adenylate cyclase signaling system. It is shown, that using the cluster analysis the bioregulators can be divided into two groups according to general orientation of their action on the considered systems of transduction of a signal.

A web portal for classification of expression data using maximal margin linear programming

The Maximal Margin (MAMA) linear programming classification algorithm has recently been proposed and tested for cancer classification based on expression data. It demonstrated sound performance on publicly available expression datasets. We developed a web interface to allow potential users easy access to the MAMA classification tool. Basic and advanced options provide flexibility in exploitation. The input data format is the same as that used in most publicly available datasets. This makes the web resource particularly convenient for non-expert machine learning users working in the field of expression data analysis.

[Common properties of pharmacological agonists and antagonists of surface membrane receptors]

Using experimental transcription model in vitro, and method of electron-topological calculations the elements of pharmacological and structural community have been found in the groups of physiologically active compounds (PAC), blocking and activating external cellular receptors. This finding confirms the necessity of subdivision special groups of bio-substrates blockators and activators for hierarchical classification, of PAC.

[Topological similarity of antagonist binding sites in biogenic amine receptors]

The influence of physical and chemical properties of some sites of transmembrane receptor domains on the receptors ability to interact with nonspecific antagonists was investigated mathematically. The properties of sites located in 3rd and 7th transmembrane domains are most likely to explain pharmacological characteristics of the receptors. The possibility of receptor blocking by nonspecific antagonists not by competing with agonists but by influencing the receptor conformation is discussed.