Protein binding hot spots prediction from sequence only by a new ensemble learning method
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Organic Chemistry,Clinical Biochemistry,Biochemistry
Link
http://link.springer.com/article/10.1007/s00726-017-2474-6/fulltext.html
Reference45 articles.
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3. Brenke R, Kozakov D, Chuang GY, Beglov D, Hall D, Landon MR, et al. Fragment-based identification of druggable ’hot spots’ of proteins using Fourier domain correlation techniques. Bioinformatics (Oxford, England). 2009;25:621–7
4. Chen R, Chen W, Yang S, Wu D, Wang Y, Tian Y et al (2011) Rigorous assessment and integration of the sequence and structure based features to predict hot spots. BMC Bioinformatics. 12:311–311
5. Chothia C, Janin J (1975) Principles of proteinprotein recognition. Nature. 256(5520):705
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