Predicting Proteome-Scale Protein Structure with Artificial Intelligence.

Abstract

Authors

• Stephen K Burley
  Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California San Diego, San Diego, CA, United States.
• Wadih Arap
  From the Research Collaboratory for Structural Bioinformatics Protein Data Bank, the Institute for Quantitative Biomedicine, and the Department of Chemistry and Chemical Biology, Rutgers, the State University of New Jersey (S.K.B.), and the Rutgers Cancer Institute of New Jersey, New Brunswick (S.K.B.) and Newark (W.A., R.P.); and the Division of Hematology-Oncology, Department of Medicine (W.A.), and the Division of Cancer Biology, Department of Radiation Oncology (R.P.), Rutgers New Jersey Medical School, Newark; and the Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, San Diego (S.K.B.).
• Renata Pasqualini
  From the Research Collaboratory for Structural Bioinformatics Protein Data Bank, the Institute for Quantitative Biomedicine, and the Department of Chemistry and Chemical Biology, Rutgers, the State University of New Jersey (S.K.B.), and the Rutgers Cancer Institute of New Jersey, New Brunswick (S.K.B.) and Newark (W.A., R.P.); and the Division of Hematology-Oncology, Department of Medicine (W.A.), and the Division of Cancer Biology, Department of Radiation Oncology (R.P.), Rutgers New Jersey Medical School, Newark; and the Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, San Diego (S.K.B.).

Keywords

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