ReviewComputational and structural biotechnology journal2013
Conformational sampling in template-free protein loop structure modeling: an overview.
Review in Computational and structural biotechnology journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Article
- Co-Formulation of Recombinant Porcine IL-18 Enhances the Onset of Immune Response in a NewVaccines · 2023Article
- Computational design of structured loops for new protein functions.Biological chemistry · 2019Review
- Sphinx: merging knowledge-based and ab initio approaches to improve protein loop prediction.Bioinformatics (Oxford, England) · 2017Article
- Article
- RCD+: Fast loop modeling server.Nucleic acids research · 2016Article
- Advancements in therapeutically targeting orphan GPCRs.Frontiers in pharmacology · 2015Review
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Authors and funding
1 author.
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Abstract
Accurately modeling protein loops is an important step to predict three-dimensional structures as well as to understand functions of many proteins. Because of their high flexibility, modeling the three-dimensional structures of loops is difficult and is usually treated as a "mini protein folding problem" under geometric constraints. In the past decade, there has been remarkable progress in template-free loop structure modeling due to advances of computational methods as well as stably increasing number of known structures available in PDB. This mini review provides an overview on the recent computational approaches for loop structure modeling. In particular, we focus on the approaches of sampling loop conformation space, which is a critical step to obtain high resolution models in template-free methods. We review the potential energy functions for loop modeling, loop buildup mechanisms to satisfy geometric constraints, and loop conformation sampling algorithms. The recent loop modeling results are also summarized.
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Registered trials
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