Literature DB >> 17508925

Towards drugs targeting multiple proteins in a systems biology approach.

O Keskin1, A Gursoy, B Ma, R Nussinov.   

Abstract

Protein-protein interactions are increasingly becoming drug targets. This is understandable, since they are crucial at all levels of cellular expression and growth. In practice, targeting specific disease-related interactions has proven difficult, with success varying with specific complexes. Here, we take a Systems Biology approach to targeting protein-protein interactions. Below, we first briefly review drug discovery targeted at protein-protein interactions; we classify protein-protein complexes with respect to their types of interactions and their roles in cellular function and as being targets in drug design; we describe the properties of the interfaces as related to drug design, focusing on hot spots and surface cavities; and finally, in particular, we cast the interactions into the cellular network system, highlighting the challenge of partially targeting multiple interactions in the networks as compared to hitting a specific protein-protein interaction target. The challenge we now face is how to pick the targets and how to improve the efficiency of designed partially-specific multi-target drugs that would block parallel pathways in the network.

Mesh:

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Year:  2007        PMID: 17508925     DOI: 10.2174/156802607780906690

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  17 in total

Review 1.  From laptop to benchtop to bedside: structure-based drug design on protein targets.

Authors:  Lu Chen; John K Morrow; Hoang T Tran; Sharangdhar S Phatak; Lei Du-Cuny; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

Review 2.  Computational prediction of protein hot spot residues.

Authors:  John Kenneth Morrow; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

3.  Computer-aided drug design: the next 20 years.

Authors:  John H Van Drie
Journal:  J Comput Aided Mol Des       Date:  2007-11-08       Impact factor: 3.686

Review 4.  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

5.  Expanding the conformational selection paradigm in protein-ligand docking.

Authors:  Guray Kuzu; Ozlem Keskin; Attila Gursoy; Ruth Nussinov
Journal:  Methods Mol Biol       Date:  2012

Review 6.  Protein-protein interaction networks: how can a hub protein bind so many different partners?

Authors:  Chung-Jung Tsai; Buyong Ma; Ruth Nussinov
Journal:  Trends Biochem Sci       Date:  2009-12       Impact factor: 13.807

7.  Evaluating docking methods for prediction of binding affinities of small molecules to the G protein betagamma subunits.

Authors:  Min-Sun Park; Axel L Dessal; Alan V Smrcka; Harry A Stern
Journal:  J Chem Inf Model       Date:  2009-02       Impact factor: 4.956

8.  Disruption of cell wall fatty acid biosynthesis in Mycobacterium tuberculosis using a graph theoretic approach.

Authors:  Veeky Baths; Utpal Roy; Tarkeshwar Singh
Journal:  Theor Biol Med Model       Date:  2011-03-31       Impact factor: 2.432

9.  Towards inferring time dimensionality in protein-protein interaction networks by integrating structures: the p53 example.

Authors:  Nurcan Tuncbag; Gozde Kar; Attila Gursoy; Ozlem Keskin; Ruth Nussinov
Journal:  Mol Biosyst       Date:  2009-12

10.  Systems biology informed neural networks (SBINN) predict response and novel combinations for PD-1 checkpoint blockade.

Authors:  Michelle Przedborski; Munisha Smalley; Saravanan Thiyagarajan; Aaron Goldman; Mohammad Kohandel
Journal:  Commun Biol       Date:  2021-07-15
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