Literature DB >> 26510691

Rational, computer-enabled peptide drug design: principles, methods, applications and future directions.

David J Diller1, Jon Swanson2, Alexander S Bayden1, Mark Jarosinski1, Joseph Audie1,3.   

Abstract

Peptides provide promising templates for developing drugs to occupy a middle space between small molecules and antibodies and for targeting 'undruggable' intracellular protein-protein interactions. Importantly, rational or in cerebro design, especially when coupled with validated in silico tools, can be used to efficiently explore chemical space and identify islands of 'drug-like' peptides to satisfy diverse drug discovery program objectives. Here, we consider the underlying principles of and recent advances in rational, computer-enabled peptide drug design. In particular, we consider the impact of basic physicochemical properties, potency and ADME/Tox opportunities and challenges, and recently developed computational tools for enabling rational peptide drug design. Key principles and practices are spotlighted by recent case studies. We close with a hypothetical future case study.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26510691     DOI: 10.4155/fmc.15.142

Source DB:  PubMed          Journal:  Future Med Chem        ISSN: 1756-8919            Impact factor:   3.808


  7 in total

Review 1.  Genetics of amyotrophic lateral sclerosis: seeking therapeutic targets in the era of gene therapy.

Authors:  Naoki Suzuki; Ayumi Nishiyama; Hitoshi Warita; Masashi Aoki
Journal:  J Hum Genet       Date:  2022-06-13       Impact factor: 3.172

2.  Computational Evolution Protocol for Peptide Design.

Authors:  Rodrigo Ochoa; Miguel A Soler; Ivan Gladich; Anna Battisti; Nikola Minovski; Alex Rodriguez; Sara Fortuna; Pilar Cossio; Alessandro Laio
Journal:  Methods Mol Biol       Date:  2022

3.  Protein-peptide docking using CABS-dock and contact information.

Authors:  Maciej Blaszczyk; Maciej Pawel Ciemny; Andrzej Kolinski; Mateusz Kurcinski; Sebastian Kmiecik
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

4.  In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design.

Authors:  William F Porto; Luz Irazazabal; Eliane S F Alves; Suzana M Ribeiro; Carolina O Matos; Állan S Pires; Isabel C M Fensterseifer; Vivian J Miranda; Evan F Haney; Vincent Humblot; Marcelo D T Torres; Robert E W Hancock; Luciano M Liao; Ali Ladram; Timothy K Lu; Cesar de la Fuente-Nunez; Octavio L Franco
Journal:  Nat Commun       Date:  2018-04-16       Impact factor: 14.919

Review 5.  Computer-aided design of amino acid-based therapeutics: a review.

Authors:  Tayebeh Farhadi; Seyed MohammadReza Hashemian
Journal:  Drug Des Devel Ther       Date:  2018-05-14       Impact factor: 4.162

6.  In silico/In vivo analysis of high-risk papillomavirus L1 and L2 conserved sequences for development of cross-subtype prophylactic vaccine.

Authors:  Ali Namvar; Azam Bolhassani; Gholamreza Javadi; Zahra Noormohammadi
Journal:  Sci Rep       Date:  2019-10-23       Impact factor: 4.379

7.  Computational identification of self-inhibitory peptides from white spot syndrome virus envelope protein VP28.

Authors:  Yongzhong Lu; Qian Qiu; Chen Li; Linyue Cheng; Jie Liu
Journal:  Aquac Rep       Date:  2019-04-15
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.