Literature DB >> 27061494

Protein Engineering by Combined Computational and In Vitro Evolution Approaches.

Lior Rosenfeld1, Michael Heyne2, Julia M Shifman3, Niv Papo4.   

Abstract

Two alternative strategies are commonly used to study protein-protein interactions (PPIs) and to engineer protein-based inhibitors. In one approach, binders are selected experimentally from combinatorial libraries of protein mutants that are displayed on a cell surface. In the other approach, computational modeling is used to explore an astronomically large number of protein sequences to select a small number of sequences for experimental testing. While both approaches have some limitations, their combination produces superior results in various protein engineering applications. Such applications include the design of novel binders and inhibitors, the enhancement of affinity and specificity, and the mapping of binding epitopes. The combination of these approaches also aids in the understanding of the specificity profiles of various PPIs.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  binding affinity; combinatorial selection; computational protein design; novel binding domains; protein engineering; protein–protein interactions

Mesh:

Substances:

Year:  2016        PMID: 27061494     DOI: 10.1016/j.tibs.2016.03.002

Source DB:  PubMed          Journal:  Trends Biochem Sci        ISSN: 0968-0004            Impact factor:   13.807


  18 in total

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2.  Filling the Void: Introducing Aromatic Interactions into Solvent Tunnels To Enhance Lipase Stability in Methanol.

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Journal:  Appl Environ Microbiol       Date:  2018-11-15       Impact factor: 4.792

Review 3.  In silico structure-based approaches to discover protein-protein interaction-targeting drugs.

Authors:  Woong-Hee Shin; Charles W Christoffer; Daisuke Kihara
Journal:  Methods       Date:  2017-08-09       Impact factor: 3.608

Review 4.  Structure function relations in PDZ-domain-containing proteins: Implications for protein networks in cellular signalling.

Authors:  G P Manjunath; Praveena L Ramanujam; Sanjeev Galande
Journal:  J Biosci       Date:  2018-03       Impact factor: 1.826

Review 5.  Computational design and experimental optimization of protein binders with prospects for biomedical applications.

Authors:  Alessandro Bonadio; Julia M Shifman
Journal:  Protein Eng Des Sel       Date:  2021-02-15       Impact factor: 1.952

6.  Function of CTLGA9 Amino Acid Residue Leucine-6 in Modulating Cry Toxicity.

Authors:  Intikhab Alam; Khadija Batool; Aisha Lawan Idris; Weilong Tan; Xiong Guan; Lingling Zhang
Journal:  Front Immunol       Date:  2022-07-05       Impact factor: 8.786

7.  A computational combinatorial approach identifies a protein inhibitor of superoxide dismutase 1 misfolding, aggregation, and cytotoxicity.

Authors:  Victor Banerjee; Ofek Oren; Efrat Ben-Zeev; Ran Taube; Stanislav Engel; Niv Papo
Journal:  J Biol Chem       Date:  2017-08-02       Impact factor: 5.157

Review 8.  In vitro Engineering of Novel Bioactivity in the Natural Enzymes.

Authors:  Vishvanath Tiwari
Journal:  Front Chem       Date:  2016-10-07       Impact factor: 5.221

9.  Computational design of an epitope-specific Keap1 binding antibody using hotspot residues grafting and CDR loop swapping.

Authors:  Xiaofeng Liu; Richard D Taylor; Laura Griffin; Shu-Fen Coker; Ralph Adams; Tom Ceska; Jiye Shi; Alastair D G Lawson; Terry Baker
Journal:  Sci Rep       Date:  2017-01-27       Impact factor: 4.379

Review 10.  Therapeutic Potential of Matrix Metalloproteinase Inhibition in Breast Cancer.

Authors:  Evette S Radisky; Maryam Raeeszadeh-Sarmazdeh; Derek C Radisky
Journal:  J Cell Biochem       Date:  2017-07-17       Impact factor: 4.429

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