Literature DB >> 21872966

Binding sites in membrane proteins--diversity, druggability and prospects.

Robert Adams1, Catherine L Worth, Stefan Guenther, Mathias Dunkel, Robert Lehmann, Robert Preissner.   

Abstract

The identification of novel drug targets is one of the major challenges in proteomics. Computational methods developed over the last decade have enhanced the process of drug design in both terms of time and quality. The main task is the design of selective compounds, which bind targets more specifically, dependent on the desired mode of action of the particular drug. This makes it necessary to create compounds, which either exhibit their functions on one single protein to exclude undesired cross-reactivity or to use the advantageous effect of less selective drugs that target numerous proteins and therefore exhibit their functions on whole protein classes. Main aspects in the assignment of interactions between ligands and putative targets involve the amino acid composition of the binding site, evolutionary conservation and similarity in sequence and structure of known targets. Similarities or differences within classified protein families can be the key to their function and give first hints to functional drug design. Hereby, binding site-based classification outnumbers sequence-based classifications since similar binding sites can also be found in more distant proteins. Membrane proteins are 'difficult targets', because of their special physicochemical characteristics and the general lack of structural information. Here, we describe recent advances in modeling methods dedicated to membrane proteins. Different descriptors of similarity between compounds and the similarity between binding sites are under development and elucidate important aspects like dynamics or entropy. The importance of computational drug design is undisputable. Nevertheless, the process of design is complicated by increasing complexity, which underlines the importance of accurate knowledge about the addressed target class(es) and particularly their binding sites. One main objective by considering named topics is to predict putative side effects and errant functions (off-target effects) of novel drugs, which requires a holistic (systems biology) view on drug-target-pathway relations. In the following, we give a brief summary about the recent discussion on drug-target interactions with emphasis on membrane proteins.
Copyright © 2011 Elsevier GmbH. All rights reserved.

Mesh:

Substances:

Year:  2011        PMID: 21872966     DOI: 10.1016/j.ejcb.2011.06.003

Source DB:  PubMed          Journal:  Eur J Cell Biol        ISSN: 0171-9335            Impact factor:   4.492


  4 in total

Review 1.  Stable isotope dilution mass spectrometry for membrane transporter quantitation.

Authors:  Vahid Farrokhi; Adam J McShane; Reza Nemati; Xudong Yao
Journal:  AAPS J       Date:  2013-10       Impact factor: 4.009

Review 2.  Ligand binding at the protein-lipid interface: strategic considerations for drug design.

Authors:  Jian Payandeh; Matthew Volgraf
Journal:  Nat Rev Drug Discov       Date:  2021-07-13       Impact factor: 84.694

Review 3.  Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.

Authors:  Andrew Currin; Neil Swainston; Philip J Day; Douglas B Kell
Journal:  Chem Soc Rev       Date:  2015-03-07       Impact factor: 54.564

4.  Mechanism and resistance for antimycobacterial activity of a fluoroquinophenoxazine compound.

Authors:  Pamela K Garcia; Thirunavukkarasu Annamalai; Wenjie Wang; Raven S Bell; Duc Le; Paula Martin Pancorbo; Sabah Sikandar; Ahmed Seddek; Xufen Yu; Dianqing Sun; Anne-Catrin Uhlemann; Purushottam B Tiwari; Fenfei Leng; Yuk-Ching Tse-Dinh
Journal:  PLoS One       Date:  2019-02-22       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.