Literature DB >> 18075160

A historical perspective of template-based protein structure prediction.

Jun-Tao Guo1, Kyle Ellrott, Ying Xu.   

Abstract

This chapter presents a broad and a historical overview of the problem of protein structure prediction. Different structure prediction methods, including homology modeling, fold recognition (FR)/protein threading, ab initio/de novo approaches, and hybrid techniques involving multiple types of approaches, are introduced in a historical context. The progress of the field as a whole, especially in the threading/FR area, as reflected by the CASP/CAFASP contests, is reviewed. At the end of the chapter, we discuss the challenging issues ahead in the field of protein structure prediction.

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Year:  2008        PMID: 18075160     DOI: 10.1007/978-1-59745-574-9_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  Secondary structure specific simpler prediction models for protein backbone angles.

Authors:  M A Hakim Newton; Fereshteh Mataeimoghadam; Rianon Zaman; Abdul Sattar
Journal:  BMC Bioinformatics       Date:  2022-01-04       Impact factor: 3.169

Review 2.  Template-based protein modeling: recent methodological advances.

Authors:  Pankaj R Daga; Ronak Y Patel; Robert J Doerksen
Journal:  Curr Top Med Chem       Date:  2010       Impact factor: 3.295

3.  Computational exploration of the network of sequence flow between protein structures.

Authors:  Baoqiang Cao; Ron Elber
Journal:  Proteins       Date:  2010-03

4.  Bhageerath-H: a homology/ab initio hybrid server for predicting tertiary structures of monomeric soluble proteins.

Authors:  B Jayaram; Priyanka Dhingra; Avinash Mishra; Rahul Kaushik; Goutam Mukherjee; Ankita Singh; Shashank Shekhar
Journal:  BMC Bioinformatics       Date:  2014-12-08       Impact factor: 3.169

5.  Enhancing protein backbone angle prediction by using simpler models of deep neural networks.

Authors:  Fereshteh Mataeimoghadam; M A Hakim Newton; Abdollah Dehzangi; Abdul Karim; B Jayaram; Shoba Ranganathan; Abdul Sattar
Journal:  Sci Rep       Date:  2020-11-10       Impact factor: 4.379

  5 in total

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