DPAM-AI: a domain parser for AlphaFold models powered by artificial intelligence.

Journal: Bioinformatics (Oxford, England)
PMID: 39672676

Abstract

MOTIVATION: Due to the breakthrough in protein structure prediction by AlphaFold, the scientific community has access to 200 million predicted protein structures with near-atomic accuracy from the AlphaFold protein structure DataBase (AFDB), covering nearly the entire protein universe. Segmenting these models into domains and classifying them into an evolutionary hierarchy hold tremendous potential for unraveling essential insights into protein function.

Authors

  • Jesse Durham
    Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Jing Zhang
    MOEMIL Laboratory, School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, China.
  • Richard D Schaeffer
    Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States.
  • Qian Cong
    Department of Biochemistry, Seattle, WA 98105, USA.

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