International Journal of Marine Science, Aqua Publisher, Richmond, BC, V7A 4Z5, Canada
                 
                                              
 Author   
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Computational Molecular Biology, 2024, Vol. 14, No. 3 doi: 10.5376/cmb.2024.14.0011
Received: 12 May, 2024 Accepted: 24 May, 2024 Published: 05 Jun., 2024
 
 Author   
 Correspondence author
     Computational Molecular Biology, 2024, Vol. 14, No. 3 doi: 10.5376/cmb.2024.14.0011
Received: 12 May, 2024 Accepted: 24 May, 2024 Published: 05 Jun., 2024
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  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.
  
      
   Preferred citation for this article:
 
 McGrew S., 2024, Embracing AI's role in structural biology while recognizing its limits, Computational Molecular Biology, 14(3): 95-96 (doi: 10.5376/cmb.2024.14.0011)
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
     
           
     
       
Computational Molecular Biology
           • Volume  14
      
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. PDF(0KB)
. FPDF(win)
. FPDF(mac)
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. Online fPDF
Associated material
. Readers' comments
Other articles by authors
. Sarah McGrew
Related articles
. Structural Biology
. AI
. Experimental validation
Tools
. Email to a friend
. Post a comment