Literature DB >> 7522489

Analysis of molecular recognition: steric electrostatic and hydrophobic complementarity.

G Náray-Szabó1.   

Abstract

We discuss three important aspects of molecular recognition: steric, electrostatic and hydrophobic. Steric fit means that interacting atoms may not approach each other beyond their van der Waals radii and, simultaneously, crevices should be filled as densely as possible. Electrostatic fit requires the maximum ionic and polar (hydrogen bond or other) interaction between host and guest atoms while the hydrophobic fit corresponds to the association trend between apolar groups in an aqueous medium. Space-filling models, obtained by molecular graphics, illustrate steric complementarity while we use molecular electrostatic potentials (MEPs) and fields (MEFs) to investigate electrostatic and hydrophobic matching. Molecular regions with negative and positive MEPs attract and repel a positive probe charge, respectively, so we consider them as attracting each other. Furthermore we postulate that regions with MEFs of similar magnitude tend to associate more strongly than those with very different fields (similis simili gaudet principle). We apply the above rules to the study of complementarity in the trypsin-BPTI complex and in a crystalline association between styrene epoxide as guest and a camphor-based anthracene derivative as host. We discuss molecular similarity on the same footing as complementarity and give some examples on the application of the concept to the rationalization of relative strengths of trypsin inhibitors.

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Year:  1993        PMID: 7522489     DOI: 10.1002/jmr.300060409

Source DB:  PubMed          Journal:  J Mol Recognit        ISSN: 0952-3499            Impact factor:   2.137


  7 in total

1.  Protein pocket and ligand shape comparison and its application in virtual screening.

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Journal:  J Comput Aided Mol Des       Date:  2013-06-27       Impact factor: 3.686

2.  Comparative Analyses of Medicinal Chemistry and Cheminformatics Filters with Accessible Implementation in Konstanz Information Miner (KNIME).

Authors:  Sebastjan Kralj; Marko Jukič; Urban Bren
Journal:  Int J Mol Sci       Date:  2022-05-20       Impact factor: 6.208

3.  New quinoxaline-based VEGFR-2 inhibitors: design, synthesis, and antiproliferative evaluation with in silico docking, ADMET, toxicity, and DFT studies.

Authors:  Mohammed M Alanazi; Hazem Elkady; Nawaf A Alsaif; Ahmad J Obaidullah; Hamad M Alkahtani; Manal M Alanazi; Madhawi A Alharbi; Ibrahim H Eissa; Mohammed A Dahab
Journal:  RSC Adv       Date:  2021-10-12       Impact factor: 4.036

4.  A Multistage In Silico Study of Natural Potential Inhibitors Targeting SARS-CoV-2 Main Protease.

Authors:  Eslam B Elkaeed; Ibrahim H Eissa; Hazem Elkady; Ahmed Abdelalim; Ahmad M Alqaisi; Aisha A Alsfouk; Alaa Elwan; Ahmed M Metwaly
Journal:  Int J Mol Sci       Date:  2022-07-29       Impact factor: 6.208

5.  Electrostatic similarities between protein and small molecule ligands facilitate the design of protein-protein interaction inhibitors.

Authors:  Arnout Voet; Francois Berenger; Kam Y J Zhang
Journal:  PLoS One       Date:  2013-10-10       Impact factor: 3.240

6.  A rotation-translation invariant molecular descriptor of partial charges and its use in ligand-based virtual screening.

Authors:  Francois Berenger; Arnout Voet; Xiao Yin Lee; Kam Yj Zhang
Journal:  J Cheminform       Date:  2014-05-10       Impact factor: 5.514

7.  A Disquisition on MHC Restriction and T Cell Recognition in Five Acts.

Authors:  Neil S Greenspan
Journal:  Viral Immunol       Date:  2020-04       Impact factor: 2.257

  7 in total

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