Literature DB >> 11812260

Automatic procedures for protein design.

A Jaramillo1, L Wernisch, S Hery, S J Wodak.   

Abstract

This review describes computational procedures for deriving the amino acid sequences that are compatible with a given protein backbone structure. Such procedures can be used to gain insight into the constraints imposed by the 3D structure of the protein sequence, or to design proteins that are likely to adopt a given backbone conformation. We start by presenting a short overview of the various types of approaches to protein design developed over more than a decade. This is followed by a more detailed presentation of a recently developed sequence selection procedure DESIGNER. This latter presentation illustrates the basic principles underlying this type of procedures, described what they may teach us when applied to small proteins, and highlights issues that need to be addressed in order to go forward.

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Year:  2001        PMID: 11812260     DOI: 10.2174/1386207013330724

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  5 in total

1.  Computational protein design is a challenge for implicit solvation models.

Authors:  Alfonso Jaramillo; Shoshana J Wodak
Journal:  Biophys J       Date:  2004-09-17       Impact factor: 4.033

Review 2.  Challenges in the computational design of proteins.

Authors:  María Suárez; Alfonso Jaramillo
Journal:  J R Soc Interface       Date:  2009-03-11       Impact factor: 4.118

3.  The minimized dead-end elimination criterion and its application to protein redesign in a hybrid scoring and search algorithm for computing partition functions over molecular ensembles.

Authors:  Ivelin Georgiev; Ryan H Lilien; Bruce R Donald
Journal:  J Comput Chem       Date:  2008-07-30       Impact factor: 3.376

Review 4.  Computational approaches for rational design of proteins with novel functionalities.

Authors:  Manish Kumar Tiwari; Ranjitha Singh; Raushan Kumar Singh; In-Won Kim; Jung-Kul Lee
Journal:  Comput Struct Biotechnol J       Date:  2012-09-28       Impact factor: 7.271

5.  A critical analysis of computational protein design with sparse residue interaction graphs.

Authors:  Swati Jain; Jonathan D Jou; Ivelin S Georgiev; Bruce R Donald
Journal:  PLoS Comput Biol       Date:  2017-03-30       Impact factor: 4.475

  5 in total

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