Literature DB >> 7764895

NMR and crystallography--complementary approaches to structure determination.

M W MacArthur1, P C Driscoll, J M Thornton.   

Abstract

A knowledge of the three-dimensional structure of a protein is essential to understand how a protein performs its functions. It is also a prime requirement for the rational design of novel sequences with specific structural, chemical or catalytic properties. Until recently, such information could only be obtained from X-ray diffraction studies on protein crystals. In the past few years, however, nuclear magnetic resonance (NMR) spectroscopy in solution has rapidly become established as an effective alternative method. This review briefly examines the two techniques and their relevance to protein engineering and design.

Mesh:

Year:  1994        PMID: 7764895     DOI: 10.1016/0167-7799(94)90074-4

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  5 in total

Review 1.  Structure-function relationships of pre-fibrillar protein assemblies in Alzheimer's disease and related disorders.

Authors:  F Rahimi; A Shanmugam; G Bitan
Journal:  Curr Alzheimer Res       Date:  2008-06       Impact factor: 3.498

2.  The how and why of protein-carbohydrate interaction: a primer to the theoretical concept and a guide to application in drug design.

Authors:  H J Gabius
Journal:  Pharm Res       Date:  1998-01       Impact factor: 4.200

3.  Predicting the redox state and secondary structure of cysteine residues using multi-dimensional classification analysis of NMR chemical shifts.

Authors:  Ching-Cheng Wang; Wen-Chung Lai; Woei-Jer Chuang
Journal:  J Biomol NMR       Date:  2016-09-09       Impact factor: 2.835

4.  Protein structure modelling and evaluation based on a 4-distance description of side-chain interactions.

Authors:  Vladimir Potapov; Mati Cohen; Yuval Inbar; Gideon Schreiber
Journal:  BMC Bioinformatics       Date:  2010-07-12       Impact factor: 3.169

5.  NCACO-score: an effective main-chain dependent scoring function for structure modeling.

Authors:  Liqing Tian; Aiping Wu; Yang Cao; Xiaoxi Dong; Yun Hu; Taijiao Jiang
Journal:  BMC Bioinformatics       Date:  2011-05-26       Impact factor: 3.169

  5 in total

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