✦ LIBER ✦

A semi-supervised boosting SVM for predicting hot spots at protein-protein Interfaces

✍ Scribed by Bin Xu, Xiaoming Wei, Lei Deng, Jihong Guan, Shuigeng Zhou

Book ID: 120684547
Publisher: BioMed Central
Year: 2012
Tongue: English
Weight: 614 KB
Volume: 6
Category: Article
ISSN: 1752-0509
DOI: 10.1186/1752-0509-6-S2-S6

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Prediction of hot spot residues at prote

Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods

✍ Stefano Lise; Cedric Archambeau; Massimiliano Pontil; David T Jones 📂 Article 📅 2009 🏛 BioMed Central 🌐 English ⚖ 671 KB

Structurally adaptive hot spots at a pro

Structurally adaptive hot spots at a protein interaction interface on TRAF3

✍ Kathryn R. Ely; Chenglong Li 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 349 KB

## Abstract Tumor necrosis factor (TNF) signaling is controlled by receptors and intracellular signaling pathways that activate the NF‐κB transcription factor. The resulting signals elicit immune responses and have important implications for disorders such as autoimmunity or allergic reactions. TNF

Predicting binding modes, binding affini

Predicting binding modes, binding affinities and `hot spots' for protein-ligand complexes using a knowledge-based scoring function

✍ Holger Gohlke; Manfred Hendlich; Gerhard Klebe 📂 Article 📅 2000 🏛 Springer 🌐 English ⚖ 326 KB

Role of tyrosine hot-spot residues at th

Role of tyrosine hot-spot residues at the interface of colicin E9 and immunity protein 9: A comparative free energy simulation study

✍ Luitz, Manuel P.; Zacharias, Martin 📂 Article 📅 2012 🏛 John Wiley and Sons 🌐 English ⚖ 714 KB