Article Information
History
- October 9, 2021.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Yong Jung1,2,5,
- Cunliang Geng8,
- Alexandre M. J. J. Bonvin8,
- Li C. Xue8,9,* and
- Vasant G. Honavar1,2,3,4,5,6,7,*
- 1Bioinformatics & Genomics Graduate Program, Pennsylvania State University, University Park, PA 16802, USA
- 2Artificial Intelligence Research Laboratory, Pennsylvania State University, University Park, PA 16802, USA
- 3Center for Big Data Analytics and Discovery Informatics, Pennsylvania State University, University Park, PA 16823, USA
- 4Institute for Computational and Data Sciences, Pennsylvania State University, University Park, PA 16802, USA
- 5Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
- 6Clinical and Translational Sciences Institute, Pennsylvania State University, University Park, PA 16802, USA
- 7College of Information Sciences & Technology, Pennsylvania State University, University Park, PA 16802, USA
- 8Bijvoet Centre for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands
- 9Center for Molecular and Biomolecular Informatics, Radboudumc, Greet Grooteplein 26-28, 6525 GA Nijmegen, the Netherlands
- ↵*Correspondence: Vasant G. Honavar (e-mail: vhonavar{at}psu.edu. Address: E335 Westgate Bldg. Pennsylvania State University, University Park, PA 16802-6823, USA. Phone: +1-814-865-3141), Li C. Xue (e-mail: Li.Xue{at}radboudumc.nl. Address: Route: 260, Radboud Institute for Molecular Life Sciences, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands. Phone: +31 6 18 59 43 90)
Posted October 09, 2021.
MetaScore: A novel machine-learning based approach to improve traditional scoring functions for scoring protein-protein docking conformations
