Literature DB >> 34596856

In Silico Analysis of Peptide Macrocycle -Protein Interactions.

Margaret M Hurley1, Meagan C Small2.   

Abstract

Peptide macrocycles possess characteristics that make them ideal as drug candidates, molecular recognition elements, and a variety of other applications involving their unique interactions with proteins. Computational analysis of these peptide macrocycle-protein interactions is useful for elucidating details that help underscore the true differences between peptide macrocycle binding candidates and facilitate the design of improved binders. The following protocol is useful for computational screening and analysis of a series of peptide macrocycle candidates binding to a protein target with a known structure but unknown binding site. It uses readily available open source software and is suitable for High Performance Computing.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Binding free energy; MM/GBSA; Molecular dynamics; Peptide–protein interactions

Mesh:

Substances:

Year:  2022        PMID: 34596856     DOI: 10.1007/978-1-0716-1689-5_17

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  46 in total

Review 1.  Targeting protein-protein interfaces using macrocyclic peptides.

Authors:  Meng Gao; Kui Cheng; Hang Yin
Journal:  Biopolymers       Date:  2015-07       Impact factor: 2.505

2.  The structural basis of peptide-protein binding strategies.

Authors:  Nir London; Dana Movshovitz-Attias; Ora Schueler-Furman
Journal:  Structure       Date:  2010-02-10       Impact factor: 5.006

3.  Macrocyclic Peptides as Drug Candidates: Recent Progress and Remaining Challenges.

Authors:  Alexander A Vinogradov; Yizhen Yin; Hiroaki Suga
Journal:  J Am Chem Soc       Date:  2019-02-27       Impact factor: 15.419

Review 4.  Protein-Catalyzed Capture Agents.

Authors:  Heather D Agnew; Matthew B Coppock; Matthew N Idso; Bert T Lai; JingXin Liang; Amy M McCarthy-Torrens; Carmen M Warren; James R Heath
Journal:  Chem Rev       Date:  2019-03-06       Impact factor: 60.622

5.  Assessing the performance of the MM/PBSA and MM/GBSA methods. 1. The accuracy of binding free energy calculations based on molecular dynamics simulations.

Authors:  Tingjun Hou; Junmei Wang; Youyong Li; Wei Wang
Journal:  J Chem Inf Model       Date:  2010-11-30       Impact factor: 4.956

6.  PatchDock and SymmDock: servers for rigid and symmetric docking.

Authors:  Dina Schneidman-Duhovny; Yuval Inbar; Ruth Nussinov; Haim J Wolfson
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

7.  Macrocyclic Modalities Combining Peptide Epitopes and Natural Product Fragments.

Authors:  Stéphanie M Guéret; Sasikala Thavam; Rodrigo J Carbajo; Marco Potowski; Niklas Larsson; Göran Dahl; Anita Dellsén; Tom N Grossmann; Alleyn T Plowright; Eric Valeur; Malin Lemurell; Herbert Waldmann
Journal:  J Am Chem Soc       Date:  2020-03-02       Impact factor: 15.419

8.  Improved Modeling of Peptide-Protein Binding Through Global Docking and Accelerated Molecular Dynamics Simulations.

Authors:  Jinan Wang; Andrey Alekseenko; Dima Kozakov; Yinglong Miao
Journal:  Front Mol Biosci       Date:  2019-10-30

9.  How proteins bind macrocycles.

Authors:  Elizabeth A Villar; Dmitri Beglov; Spandan Chennamadhavuni; John A Porco; Dima Kozakov; Sandor Vajda; Adrian Whitty
Journal:  Nat Chem Biol       Date:  2014-07-20       Impact factor: 15.040

Review 10.  Current Strategies and Applications for Precision Drug Design.

Authors:  Chen Wang; Pan Xu; Luyu Zhang; Jing Huang; Kongkai Zhu; Cheng Luo
Journal:  Front Pharmacol       Date:  2018-07-18       Impact factor: 5.810

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