Embracing AI's Role in Structural Biology While Recognizing Its Limits

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Embracing AI's Role in Structural Biology While Recognizing Its Limits

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Correspondence author
Computational Molecular Biology, 2024, Vol. 14, No. 3
Received: 12 May, 2024 Accepted: 24 May, 2024 Published: 05 Jun., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

To unlock the full potential of scientific discovery, we must leverage the power of AI while maintaining the rigor of experimental validation.

Keywords

Structural Biology; AI; Experimental validation

(The advance publishing of the abstract of this manuscript does not mean final published, the end result whether or not published will depend on the comments of peer reviewers and decision of our editorial board.)

The complete article is available as a Provisional PDF if requested. The fully formatted PDF and HTML versions are in production.

Computational Molecular Biology

• Volume 14

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