Cited by 299Protein Structure and DynamicsEnzyme Structure and FunctionComputational Drug Discovery Methods

Comparative modeling for protein structure prediction

Ginalski, Krzysztof·2006·Current Opinion in Structural Biology

Abstract

With the progression of structural genomics projects, comparative modeling remains an increasingly important method of choice. It helps to bridge the gap between the available sequence and structure information by providing reliable and accurate protein models. Comparative modeling based on more than 30% sequence identity is now approaching its natural template-based limits and further improvements require the development of effective refinement techniques capable of driving models toward native structure. For difficult targets, for which the most significant progress in recent years has been observed, optimal template selection and alignment accuracy are still the major problems.

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Crossref · 10.1016/j.sbi.2006.02.003

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Authors
Ginalski, K.
Affiliations
Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw (PL)
Corresponding author
Ginalski, Krzysztof
Venue
Current Opinion in Structural Biology
Publisher
Elsevier BV
Published
2006-04
Volume
16
Issue
2
Pages
172-177
ISSN
0959-440X (ISSN-L)
OpenAlex
W2156328030
Cited by
296
References
47
Citations by year
2026: 3 · 2025: 3 · 2024: 6 · 2023: 5 · 2022: 15 · 2021: 7 · 2020: 11 · 2019: 11 · 2018: 10 · 2017: 13 · 2016: 14 · 2015: 12 · 2014: 20 · 2013: 18 · 2012: 19
FWCI
2.09
Type
journal article
Language
en
Open access
closed
Locations
  • Current Opinion in Structural Biology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
Keywords
homology modeling, protein structure prediction, template-based modeling, structural genomics, model refinement, template selection, low sequence identity
MeSH terms
Algorithms, Membrane Proteins, Models, Molecular, Nitroreductases, Proteins, Thermotoga maritima, Sequence Analysis, Protein, Escherichia coli Proteins, Structural Homology, Protein

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