FALCON : A high-throughput protein structure prediction server based on remote homologue recognition

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

33 Scopus Citations
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Author(s)

  • Chao Wang
  • Haicang Zhang
  • Wei-Mou Zheng
  • Dong Xu
  • Jianwei Zhu
  • Bing Wang
  • Kang Ning
  • Shiwei Sun
  • Dongbo Bu

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)462-464
Journal / PublicationBioinformatics
Volume32
Issue number3
Online published10 Oct 2015
Publication statusPublished - 1 Feb 2016

Abstract

Summary: The protein structure prediction approaches can be categorized into template-based modeling (including homology modeling and threading) and free modeling. However, the existing threading tools perform poorly on remote homologous proteins. Thus, improving fold recognition for remote homologous proteins remains a challenge. Besides, the proteome-wide structure prediction poses another challenge of increasing prediction throughput. In this study, we presented FALCON

Citation Format(s)

FALCON: A high-throughput protein structure prediction server based on remote homologue recognition. / Wang, Chao; Zhang, Haicang; Zheng, Wei-Mou et al.
In: Bioinformatics, Vol. 32, No. 3, 01.02.2016, p. 462-464.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review