https://github.com/choderalab/sampl6-logp-challenge-virtual-workshop
This repository contains slide decks of presentations that took place in SAMPL6 logP Challenge Virtual Workshop on May 16th, 2019.
https://github.com/choderalab/sampl6-logp-challenge-virtual-workshop
Science Score: 23.0%
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This repository contains slide decks of presentations that took place in SAMPL6 logP Challenge Virtual Workshop on May 16th, 2019.
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https://github.com/choderalab/SAMPL6-logP-challenge-virtual-workshop/blob/master/
[](https://doi.org/10.5281/zenodo.3518862) # SAMPL6 log *P* Challenge Virtual Workshop This repository contains slidedecks of presentations that took place in SAMPL6 log *P* Challenge Virtual Workshop on May 16th, 2019. In this workshop, SAMPL6 organizers and participants discussed the structure of blind octanol-water partition coefficient prediction challenge, collection of experimental data, overall performance evaluation of participating methods, and various prediction methods participants had used. ### Presentations * Mehtap Isik (MSKCC) - "SAMPL6 Part II Partition Coefficient Challenge Overview and Experimental Data Collection" * Andrew Paluch (Miami University, Ohio) - "log *P* Predictions Using SMx or LSER With Training Data from DrugBank.ca" * Christoph Loschen (Cosmologic) - "COSMO-RS based predictions for the SAMPL6 logP challenge" * Nicolas Tielker (TU Dortmund) - "Prediction of partition coefficients for drug-like compounds" * Esteban Vohringer-Martinez (Univ. Concepcin) - "Log *P *Results with Atom in Molecules Atomic Charges" * Alexei Nikitin [The SAMPL6 logP Virtual Workshop Zenodo page](https://zenodo.org/record/3518862#.XbsBvpNKho4) includes workshop overview, agenda, and video recording. SAMPL6 logP Challenge Virtual Workshop video recording is also available: [https://www.youtube.com/watch?v=FWUPXG8U3UE](https://www.youtube.com/watch?v=FWUPXG8U3UE) Please refer to [SAMPL6 repository](https://github.com/MobleyLab/SAMPL6/) for all information related to SAMPL6 Part II Log *P* Prediction Challenge including challenge instructions, experimental log *P* dataset, blind predictions, and analysis of results.
Owner
- Name: Chodera lab // Memorial Sloan Kettering Cancer Center
- Login: choderalab
- Kind: organization
- Email: john.chodera@choderalab.org
- Location: Memorial Sloan-Kettering Cancer Center, Manhattan, NY
- Website: http://choderalab.org
- Repositories: 269
- Profile: https://github.com/choderalab