Literature DB >> 18826301

Approved drug mimics of short peptide ligands from protein interaction motifs.

Laavanya Parthasarathi1, Fergal Casey, Amelie Stein, Patrick Aloy, Denis C Shields.   

Abstract

Most biological functions are regulated through complex networks of transient protein interactions, and, thus, finding effective ways to modulate them would represent an important step towards defining the next generation of drugs. In this study, we set out to determine if existing approved drugs may represent a good source of compounds from which initial lead inhibitors of protein-protein interactions mediated by short peptide regions may be drawn. Peptide structures were defined in terms of pharmacophores and searched against U.S. Food and Drug Administration (FDA)-approved drugs to identify similar compounds. The top ranking matches (using a score that corrects root-mean-square deviation (rmsd) for the number of matched pharmacophores and for the number of drug rotatable bonds) included a number of nuclear receptor ligands that matched allosterically to the corepressor binding site of peroxisome proliferator-activated receptor alpha (PPARalpha). The top ranking drug matches were docked to the peptide-binding site using AUTODOCK. The majority of the top-ranking matches showed a negative estimated free energy change upon binding that is comparable to, or greater than, that of the original peptide. We conclude that the usage of certain approved drugs may represent a useful strategy in inhibiting specific protein-protein interactions. Such a strategy may benefit from the increased likelihood that developed compounds might have favorable bioactivity and safety profiles in clinical use.

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Year:  2008        PMID: 18826301     DOI: 10.1021/ci800174c

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  14 in total

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2.  Facile iterative synthesis of 2,5-terpyrimidinylenes as nonpeptidic alpha-helical mimics.

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Review 3.  Computational Tools and Strategies to Develop Peptide-Based Inhibitors of Protein-Protein Interactions.

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Journal:  Methods Mol Biol       Date:  2022

4.  Novel peptide-mediated interactions derived from high-resolution 3-dimensional structures.

Authors:  Amelie Stein; Patrick Aloy
Journal:  PLoS Comput Biol       Date:  2010-05-20       Impact factor: 4.475

5.  The overlap of small molecule and protein binding sites within families of protein structures.

Authors:  Fred P Davis; Andrej Sali
Journal:  PLoS Comput Biol       Date:  2010-02-05       Impact factor: 4.475

6.  Towards the improved discovery and design of functional peptides: common features of diverse classes permit generalized prediction of bioactivity.

Authors:  Catherine Mooney; Niall J Haslam; Gianluca Pollastri; Denis C Shields
Journal:  PLoS One       Date:  2012-10-08       Impact factor: 3.240

7.  Rosetta FlexPepDock ab-initio: simultaneous folding, docking and refinement of peptides onto their receptors.

Authors:  Barak Raveh; Nir London; Lior Zimmerman; Ora Schueler-Furman
Journal:  PLoS One       Date:  2011-04-29       Impact factor: 3.240

8.  Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences.

Authors:  Tian Mi; Jerlin Camilus Merlin; Sandeep Deverasetty; Michael R Gryk; Travis J Bill; Andrew W Brooks; Logan Y Lee; Viraj Rathnayake; Christian A Ross; David P Sargeant; Christy L Strong; Paula Watts; Sanguthevar Rajasekaran; Martin R Schiller
Journal:  Nucleic Acids Res       Date:  2011-12-06       Impact factor: 16.971

9.  PepX: a structural database of non-redundant protein-peptide complexes.

Authors:  Peter Vanhee; Joke Reumers; Francois Stricher; Lies Baeten; Luis Serrano; Joost Schymkowitz; Frederic Rousseau
Journal:  Nucleic Acids Res       Date:  2009-10-30       Impact factor: 16.971

10.  Fast and accurate discovery of degenerate linear motifs in protein sequences.

Authors:  Abdellali Kelil; Benjamin Dubreuil; Emmanuel D Levy; Stephen W Michnick
Journal:  PLoS One       Date:  2014-09-10       Impact factor: 3.240

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