Improving classical scoring functions using random forest: The non‐additivity of free energy terms’ contributions in binding-Reference-Cited by-同舟云学术

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Improving classical scoring functions using random forest: The non‐additivity of free energy terms’ contributions in binding

Published:2018-04-27 Issue:2 Volume:92 Page:1429-1434
ISSN:1747-0277
Container-title:Chemical Biology & Drug Design
language:en
Short-container-title:Chem Biol Drug Des

Author:

Afifi Karim¹^ORCID,Al‐Sadek Ahmed Farouk²

Affiliation:

1. Department of Computer ScienceModern Sciences and Arts University Giza Egypt

2. Central Lab for Agricultural Experts SystemsMinistry of Agriculture and Land Reclamation Giza Egypt

Publisher

Wiley

Subject

Molecular Medicine,Biochemistry,Drug Discovery,Pharmacology,Organic Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cbdd.13206

Reference20 articles.

1. Can we trust docking results? Evaluation of seven commonly used programs on PDBbind database

2. Comparative Assessment of Scoring Functions on an Updated Benchmark: 2. Evaluation Methods and General Results

3. Advances and Challenges in Protein-Ligand Docking

4. Classification of Current Scoring Functions

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