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Final Report from West-Life Part B

Chris Morris, Martyn Winn, Susan Daenke, Antonio Rosato, Ales Krenek, Alexandre Bonvin, Robbie Joosten, Tomas Kulhanek, Jose Maria Carazo
2018 Zenodo  
Explanation of the work carried out by the beneficiaries and Overview of the progress. Written by the project consortium, and edited by Chris Morris.  ...  The predictive method has been successfully applied for the blind prediction of 102 protein-ligand complexes during the D3R Grand Challenge 2.  ...  (PDB) and, (2), the use of deep learning approaches to analyse some features of cryo-EM maps.  ... 
doi:10.5281/zenodo.2549377 fatcat:nfl2r7mf55eitda2co4jtbcsra

119th Annual Meeting of the American Association of Colleges of Pharmacy, Boston, Massachusetts, July 21-25, 2018

2018 American Journal of Pharmaceutical Education  
Students in the High risk and Intermediate-2 groups were identified to be at 78% and 35% risk of poor performance in the NAPLEX examination.  ...  Objectives: To develop a NAPLEX outcome predictive model that could be practical, measurable, and reliable. Method: The study consisted of students who graduated from the TTUHSC-SOP.  ...  Implications: The systematic process used as well as lessons learned from faculty and student feedback can assist other schools in implementing collaborative teaching needed to achieve true curriculum  ... 
doi:10.5688/ajpe7158 fatcat:7mlw2lhiu5bzrbnv4zwtaidyme

Referee report. For: A community proposal to integrate structural bioinformatics activities in ELIXIR (3D-Bioinfo Community) [version 1; peer review: 1 approved, 2 approved with reservations]

Roland L. Dunbrack
2020
.: D3R Grand Challenge 2: blind prediction of protein-ligand poses, affinity rankings, and relative binding free energies. J Comput Aided Mol Des. 2018; 32(1): 1-20.  ...  Publisher Full Text The manuscript of Orengo et al presents the goals of the Elixir initiative in the context of historical achievements in the field of 3D Bioinformatics.  ...  like the PDB from the National Institutes of Health and the National Science Foundation.  ... 
doi:10.5256/f1000research.22602.r63141 fatcat:65v2v46cgbggzlbxfrq2gagjae