Artificial intelligence in molecular biology.

Journal: Molecular cell
PMID: 39824161

Abstract

In recent years, computational methods and artificial intelligence approaches have proven uniquely suited for studying patterns in molecular biology. In this focus issue, we spoke with researchers about using these tools to address various biological questions and explore both current implications and future possibilities.

Authors

  • Anshul Kundaje
    Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Katherine S Pollard
    Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA. katherine.pollard@gladstone.ucsf.edu.
  • Jian Ma
  • Xing Chang
  • Mengjie Chen
    Department of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
  • Remo Rohs
    Molecular and Computational Biology Program, Departments of Biological Sciences, Chemistry, Physics, and Computer Science, University of Southern California, Los Angeles, CA 90089, USA.

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