SSpro/ACCpro 6: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, deep learning and structural similarity.

Journal: Bioinformatics (Oxford, England)
Published Date: Mar 28, 2022

Abstract

MOTIVATION: Accurately predicting protein secondary structure and relative solvent accessibility is important for the study of protein evolution, structure and an early-stage component of typical protein 3D structure prediction pipelines.

Authors

  • Gregor Urban
    Department of Computer Science, University of California, Irvine , Irvine, California 92697, United States.
  • Christophe N Magnan
    Institute for Genomics and Bioinformatics, University of California, Irvine, CA 92697, USA.
  • Pierre Baldi
    Department of Computer Science, Department of Biological Chemistry, University of California-Irvine, Irvine, CA 92697, USA.

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