Literature DB >> 19173307

Merging chemical and biological space: Structural mapping of enzyme binding pocket space.

Nils Weskamp1, Eyke Hüllermeier, Gerhard Klebe.   

Abstract

Structure-based drug design tries to mutually map pharmacological space populated by putative target proteins onto chemical space comprising possible small molecule drug candidates. Both spaces are connected where proteins and ligands recognize each other: in the binding pockets. Therefore, it is highly relevant to study the properties of the space composed by all possible binding cavities. In the present contribution, a global mapping of protein cavity space is presented by extracting consensus cavities from individual members of protein families and clustering them in terms of their shape and exposed physicochemical properties. Discovered similarities indicate common binding epitopes in binding pockets independent of any possibly given similarity in sequence and fold space. Unexpected links between remote targets indicate possible cross-reactivity of ligands and suggest putative side effects. The global clustering of cavity space is compared to a similar clustering of sequence and fold space and compared to chemical ligand space spanned by the chemical properties of small molecules found in binding pockets of crystalline complexes. The overall similarity architecture of sequence, fold, and cavity space differs significantly. Similarities in cavity space can be mapped best to similarities in ligand binding space indicating possible cross-reactivities. Most cross-reactivities affect co-factor and other endogenous ligand binding sites. 2008 Wiley-Liss, Inc.

Mesh:

Substances:

Year:  2009        PMID: 19173307     DOI: 10.1002/prot.22345

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  6 in total

Review 1.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

2.  Protein pockets: inventory, shape, and comparison.

Authors:  Ryan G Coleman; Kim A Sharp
Journal:  J Chem Inf Model       Date:  2010-04-26       Impact factor: 4.956

3.  Network of vascular diseases, death and biochemical characteristics in a set of 4,197 patients with type 1 diabetes (the FinnDiane Study).

Authors:  Ville-Petteri Mäkinen; Carol Forsblom; Lena M Thorn; Johan Wadén; Kimmo Kaski; Mika Ala-Korpela; Per-Henrik Groop
Journal:  Cardiovasc Diabetol       Date:  2009-10-06       Impact factor: 9.951

Review 4.  Docking and chemoinformatic screens for new ligands and targets.

Authors:  Peter Kolb; Rafaela S Ferreira; John J Irwin; Brian K Shoichet
Journal:  Curr Opin Biotechnol       Date:  2009-09-03       Impact factor: 9.740

5.  Identification of the first inhibitor of the GBP1:PIM1 interaction. Implications for the development of a new class of anticancer agents against paclitaxel resistant cancer cells.

Authors:  Mirko Andreoli; Marco Persico; Ajay Kumar; Nausicaa Orteca; Vineet Kumar; Antonella Pepe; Sakkarapalayam Mahalingam; Antonio E Alegria; Lella Petrella; Laima Sevciunaite; Alessia Camperchioli; Marisa Mariani; Antonio Di Dato; Ettore Novellino; Giovanni Scambia; Sanjay V Malhotra; Cristiano Ferlini; Caterina Fattorusso
Journal:  J Med Chem       Date:  2014-09-26       Impact factor: 7.446

6.  In silico to In vivo development of a polyherbal against Haemonchus contortus.

Authors:  Anu Rahal; D K Sharma; Ashok Kumar; Nitika Sharma; Deen Dayal
Journal:  Heliyon       Date:  2022-01-19
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.