DeLano Award for Computational Biosciences
| DeLano Award for Computational Biosciences | |
|---|---|
| Awarded for | “the most accessible and innovative development or application of computer technology to enhance research in the life sciences at the molecular level” |
| Sponsored by | American Society for Biochemistry and Molecular Biology (ASBMB) |
| First awarded | 2011 |
| Website | www |
The DeLano Award for Computational Biosciences is a prize in the field of computational biology. It is awarded annually for "the most accessible and innovative development or application of computer technology to enhance research in the life sciences at the molecular level".[1]
The prize was established by the American Society for Biochemistry and Molecular Biology (ASBMB) in memory of Warren Lyford DeLano, an American bioinformatician. DeLano developed the PyMOL open source molecular viewer software and was an advocate for the increased adoption of open source practices in the sciences. DeLano died unexpectedly in 2009.[2]
Laureates include the Nobel Prize winner Michael Levitt, who was given the Delano Award in 2013 for his work in computational bioscience.
Laureates
- 2023 - Eytan Ruppin
- 2022 - Tatyana Sharpee
- 2020 - Yang Zhang
- 2019 - Brian Kuhlman
- 2018 - Chris Sander
- 2017 - Brian K. Shoichet
- 2016 - Todd O. Yeates
- 2015 - Vijay S. Pande
- 2014 - Michael Levitt
- 2013 - Helen M. Berman
- 2012 - Barry Honig
- 2011 - Axel T. Brunger
See also
References
- ^ "DeLano Award for Computational Biosciences". www.asbmb.org. Archived from the original on 21 July 2020. Retrieved 20 April 2021.
- ^ "Warren L. Delano". Half Moon Bay Review. 23 November 2009. Retrieved 21 January 2015.