Literature DB >> 27951448

Computational design of ligand-binding proteins.

Wei Yang1, Luhua Lai2.   

Abstract

Custom-designed ligand-binding proteins with novel functions hold the potential for numerous applications. In recent years, the developments of computational methods together with high-throughput experimental screening techniques have led to the generation of novel, high-affinity ligand-binding proteins for given ligands. In addition, naturally occurring ligand-binding proteins have been computationally designed to recognize new ligands while keeping their original biological functions at the same time. Furthermore, metalloproteins have been successfully designed for novel functions and applications. Though much has been learned in these successful design cases, advances in our understanding of protein dynamics and functions related to ligand binding and development of novel computational strategies are necessary to further increase the success rate of computational protein-ligand binding design.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27951448     DOI: 10.1016/j.sbi.2016.11.021

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  13 in total

1.  Optimization of Protein Thermostability and Exploitation of Recognition Behavior to Engineer Altered Protein-DNA Recognition.

Authors:  Abigail R Lambert; Jazmine P Hallinan; Rachel Werther; Dawid Głów; Barry L Stoddard
Journal:  Structure       Date:  2020-04-30       Impact factor: 5.006

2.  Tools and systems for evolutionary engineering of biomolecules and microorganisms.

Authors:  Sungho Jang; Minsun Kim; Jaeseong Hwang; Gyoo Yeol Jung
Journal:  J Ind Microbiol Biotechnol       Date:  2019-05-27       Impact factor: 3.346

3.  Redesign of LAOBP to bind novel l-amino acid ligands.

Authors:  Jesús Banda-Vázquez; Sooruban Shanmugaratnam; Rogelio Rodríguez-Sotres; Alfredo Torres-Larios; Birte Höcker; Alejandro Sosa-Peinado
Journal:  Protein Sci       Date:  2018-03-22       Impact factor: 6.725

4.  Free-Energy-Based Protein Design: Re-Engineering Cellular Retinoic Acid Binding Protein II Assisted by the Moveable-Type Approach.

Authors:  Haizhen A Zhong; Elizabeth M Santos; Chrysoula Vasileiou; Zheng Zheng; James H Geiger; Babak Borhan; Kenneth M Merz
Journal:  J Am Chem Soc       Date:  2018-02-28       Impact factor: 15.419

Review 5.  Step-by-step design of proteins for small molecule interaction: A review on recent milestones.

Authors:  José M Pereira; Maria Vieira; Sérgio M Santos
Journal:  Protein Sci       Date:  2021-05-10       Impact factor: 6.993

6.  Computational Protein Design with Deep Learning Neural Networks.

Authors:  Jingxue Wang; Huali Cao; John Z H Zhang; Yifei Qi
Journal:  Sci Rep       Date:  2018-04-20       Impact factor: 4.379

7.  Protein-ligand binding with the coarse-grained Martini model.

Authors:  Paulo C T Souza; Sebastian Thallmair; Paolo Conflitti; Carlos Ramírez-Palacios; Riccardo Alessandri; Stefano Raniolo; Vittorio Limongelli; Siewert J Marrink
Journal:  Nat Commun       Date:  2020-07-24       Impact factor: 14.919

8.  Computational redesign of the Escherichia coli ribose-binding protein ligand binding pocket for 1,3-cyclohexanediol and cyclohexanol.

Authors:  Diogo Tavares; Artur Reimer; Shantanu Roy; Aurélie Joublin; Vladimir Sentchilo; Jan Roelof van der Meer
Journal:  Sci Rep       Date:  2019-11-15       Impact factor: 4.379

9.  New computational protein design methods for de novo small molecule binding sites.

Authors:  James E Lucas; Tanja Kortemme
Journal:  PLoS Comput Biol       Date:  2020-10-05       Impact factor: 4.475

10.  Zinc-mediated conformational preselection mechanism in the allosteric control of DNA binding to the zinc transcriptional regulator (ZitR).

Authors:  Xinheng He; Duan Ni; Hao Zhang; Xinyi Li; Jian Zhang; Qiang Fu; Yaqin Liu; Shaoyong Lu
Journal:  Sci Rep       Date:  2020-08-06       Impact factor: 4.379

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