Artificial intelligence in molecular biology
- PMID: 39824161
- DOI: 10.1016/j.molcel.2024.12.013
Artificial intelligence in molecular biology
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.
Copyright © 2024 Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of interests K.S.P. is also affiliated with the University of California San Francisco and the Chan Zuckerberg Biohub San Francisco. R.R. and the University of Southern California have filed an international patent application (No. PCT/US2024/054511).
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