## Abstract We have developed an iterative knowledge‐based scoring function (ITScore) to describe protein–ligand interactions. Here, we assess ITScore through extensive tests on native structure identification, binding affinity prediction, and virtual database screening. Specifically, ITScore was f
✦ LIBER ✦
Exploiting multi-layered information to iteratively predict protein functions
✍ Scribed by Wei Zhu; Jingyu Hou; Yi-Ping Phoebe Chen
- Book ID
- 116733313
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 692 KB
- Volume
- 236
- Category
- Article
- ISSN
- 0025-5564
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
An iterative knowledge-based scoring fun
✍
Sheng-You Huang; Xiaoqin Zou
📂
Article
📅
2006
🏛
John Wiley and Sons
🌐
English
⚖ 467 KB
Response to McDermott and Samudrala: Enh
Response to McDermott and Samudrala: Enhanced functional information from predicted protein networks
✍
Shailesh V Date; Edward M Marcotte
📂
Article
📅
2004
🏛
Elsevier Science
🌐
English
⚖ 59 KB
An iterative knowledge-based scoring fun
✍
Sheng-You Huang; Xiaoqin Zou
📂
Article
📅
2006
🏛
John Wiley and Sons
🌐
English
⚖ 333 KB
## Abstract Using a novel iterative method, we have developed a knowledge‐based scoring function (ITScore) to predict protein–ligand interactions. The pair potentials for ITScore were derived from a training set of 786 protein–ligand complex structures in the Protein Data Bank. Twenty‐six atom type