Biomedical subjects

Vladimir A Palyulin

Publications and source records attributed to Vladimir A Palyulin.

10 recordsLinked to original sources

PubMed2006

Nonpeptide inhibitors of measles virus entry.

Measles virus (MV) is one of the most infectious pathogens known. Despite the existence of a vaccine, over 500,000 deaths/year result from MV or associated complications. Anti-measles compounds could conceivably reverse these statistics. Previously, we described a homology model of the MV fusion protein trimer and a putative binding site near the head-neck region. The resulting model permitted the identification of two nonpeptidic entry inhibitors. Here, we present the design, synthesis, and bioevaluation of several series of fusion inhibitors and describe their structure-activity relationships (SAR). Five simply substituted anilides show low-microM blockade of the MV, one of which (AS-48) exhibits IC50 = 0.6-3.0 microM across a panel of wild-type MV strains found in the field. Molecular field topology analysis (MFTA), a 2D QSAR approach based on local molecular properties (atomic charges, hydrogen-bonding capacity and local lipophilicity), applied to the anilide series suggests structural modifications to improve potency.

Anilides↗

PubMed2006

Computer aided comparative analysis of the binding modes of the adenosine receptor agonists for all known subtypes of adenosine receptors.

Molecular models of all known subtypes (A1, A2A, A2B, and A3) of the human adenosine receptors were built in homology with bovine rhodopsin. These models include the transmembrane domain as well as all extracellular and intracellular hydrophilic loops and terminal domains. The molecular docking of adenosine and 46 selected derivatives was performed for each receptor subtype. A binding mode common for all studied agonists was proposed, and possible explanations for differences in the ligand activities were suggested.

Adenosine↗

PubMed2006

Inhibitory antibodies to human angiotensin-converting enzyme: fine epitope mapping and mechanism of action.

Angiotensin I-converting enzyme (ACE), a key enzyme in cardiovascular pathophysiology, consists of two homologous domains (N and C), each bearing a Zn-dependent active site. We modeled the 3D-structure of the ACE N-domain using known structures of the C-domain of human ACE and the ACE homologue, ACE2, as templates. Two monoclonal antibodies (mAb), 3A5 and i2H5, developed against the human N-domain of ACE, demonstrated anticatalytic activity. N-domain modeling and mutagenesis of 21 amino acid residues allowed us to define the epitopes for these mAbs. Their epitopes partially overlap: amino acid residues K407, E403, Y521, E522, G523, P524, D529 are present in both epitopes. Mutation of 4 amino acid residues within the 3A5 epitope, N203E, R550A, D558L, and K557Q, increased the apparent binding of mAb 3A5 with the mutated N-domain 3-fold in plate precipitation assay, but abolished the inhibitory potency of this mAb. Moreover, mutation D558L dramatically decreased 3A5-induced ACE shedding from the surface of CHO cells expressing human somatic ACE. The inhibition of N-domain activity by mAbs 3A5 and i2H5 obeys similar kinetics. Both mAbs can bind to the free enzyme and enzyme-substrate complex, forming E.mAb and E.S.mAb complexes, respectively; however, only complex E.S can form a product. Kinetic analysis indicates that both mAbs bind better with the ACE N-domain in the presence of a substrate, which, in turn, implies that binding of a substrate causes conformational adjustments in the N-domain structure. Independent experiments with ELISA demonstrated better binding of mAbs 3A5 and i2H5 in the presence of the inhibitor lisinopril as well. This effect can be attributed to better binding of both mAbs with the "closed" conformation of ACE, therefore, disturbing the hinge-bending movement of the enzyme, which is necessary for catalysis.

Amino Acid Sequence↗

PubMed2005

Molecular modeling and molecular dynamics simulation of the human A2B adenosine receptor. The study of the possible binding modes of the A2B receptor antagonists.

A molecular model of the human A(2B) adenosine receptor containing seven transmembrane alpha helices connected by three intracellular and three extracellular hydrophilic loops had been constructed. A molecular docking of seven structurally diverse xanthine antagonists of the A(2B) receptor was performed, and the differences in their binding modes were investigated. The 1 ns molecular dynamics (MD) simulations of several obtained ligand-receptor complexes inserted into the phospholipid bilayer were carried out. The conformational changes of the A(2B) receptor occurring during MD simulations were explored, and the stable binding modes of the studied antagonists were determined. According to the models presented in this work, the involvement of the His251, Asn282, Ser92, Thr89, and some aromatic residues in ligand recognition was determined. The obtained binding modes of the A(2B) antagonists demonstrate good agreement with the site-directed mutagenesis data.

Adenosine A2 Receptor Antagonists↗

PubMed2005

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.

Computer Simulation↗

PubMed2003

Selectivity fields: comparative molecular field analysis (CoMFA) of the glycine/NMDA and AMPA receptors.

An approach for evaluation of binding selectivity was suggested and exemplified using glycine/NMDA and AMPA receptors. For analyzing the pairwise selectivity, we propose to use the difference between biological activities (expressed as -log Ki) of ligands with respect to different receptor subtypes as a dependent variable for building comparative molecular field analysis (CoMFA) models. The resulting fields (which will be referred to as the "selectivity fields") indicate the ways of increasing selectivity of binding, inhibition, etc. As an example, CoMFA of a set of pyrazolo[1,5-c]quinazolines and triazolo[1,5-c]quinazolines was used for considering the binding selectivity with respect to glycine/NMDA and AMPA receptors. In addition, the mapping of these fields onto the molecular models of the corresponding receptors makes it possible to reveal the reasons for experimentally observed selectivity as well as to suggest additional ways of increasing selectivity.

Binding Sites↗

PubMed2003

CoMFA and homology-based models of the glycine binding site of N-methyl-d-aspartate receptor.

Homology modeling was used to build 3D models of the N-methyl-d-aspartate (NMDA) receptor glycine binding site on the basis of an X-ray structure of the water-soluble AMPA-sensitive receptor. The docking of agonists and antagonists to these models was used to reveal binding modes of ligands and to explain known structure-activity relationships. Two types of quantitative models, 3D-QSAR/CoMFA and a regression model based on docking energies, were built for antagonists (derivatives of 4-hydroxy-2-quinolone, quinoxaline-2,3-dione, and related compounds). The CoMFA steric and electrostatic maps were superimposed on the homology-based model, and a close correspondence was marked. The derived computational models have permitted the evaluation of the structural features crucial for high glycine binding site affinity and are important for the design of new ligands.

Binding Sites↗

PubMed2002

Structural basis for understanding structure-activity relationships for the glutamate binding site of the NMDA receptor.

We present new homology-based models of the glutamate binding site (in closed and open forms) of the NMDA receptor NR2B subunit derived from X-ray structures of the water soluble AMPA sensitive glutamate receptor. The models were used for revealing binding modes of agonists and competitive antagonists, as well as for rationalizing known experimental facts concerning structure-activity relationships: (i) the switching between the agonist and the antagonist modes of action upon lengthening the chain between the distal acidic group and the amino acid moiety, (ii) the preference for the methyl group attached to the alpha-amino group of ligands, (iii) the preference for the D-configuration of agonists and antagonists, and (iv) the existence of "superacidic" agonists.

Amino Acid Sequence↗

PubMedDate not supplied

Fragmental approach in QSPR.

Methodological problems of using fragmental descriptors for construction of QSAR/QSPR equations are considered, and the main achievements in this field are summarized and discussed. If a structure-property data set is sufficiently large to allow building statistically significant models, then any topological index can be replaced with a set of fragmental descriptors. Several examples of using the fragmental approach for predicting retention indices and the normal boiling points of organic compounds are considered. Advantages of using fragmental descriptors, namely a "transparency" and interpretability of QSAR/QSPR models, are exemplified.

Databases, Factual↗

PubMedDate not supplied

Theoretical scales of hydrogen bond acidity and basicity for application in QSAR/QSPR studies and drug design. Partitioning of aliphatic compounds.

Phenomenological analysis of existing hydrogen bond (HB) donor and acceptor scales and apparent physical considerations have enabled the establishment of new quantitative scales of hydrogen bond basicity and acidity. Chemical structures represented by molecular graphs and the orbital electronegativities of Hinze and Jaffe are utilized as an input data. The scales obtained correlate well with several experimental solvent polarity scales such as and, pK(HB), and E(T)(30). To demonstrate the applicability of the new quantities, we have applied them to seven equilibrium partitioning data sets: octanol-water, hexadecane-water, chloroform-water, gas-water, gas-octanol, gas-hexadecane, and gas-chloroform partition coefficients. The hydrogen bond descriptors when supplemented by a cavity-forming term and a dipolarity term show high performance in correlations of the partition coefficients of aliphatic compounds. These new HB descriptors can be used in studying hydrogen bonding and fluid phase equilibria as well as scoring functions in ligand docking and descriptors in ADME evaluations.

Drug Design↗