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Machine learning for in silico virtual screening and chemical genomics: new strategiesA method for probabilistic mapping between protein structure and function taxonomies through cross trainingStructural alphabets for protein structure classification: a comparison studyVirtual screening of GPCRs: an in silico chemogenomics approach.Combining classifiers for improved classification of proteins from sequence or structure.Large-scale prediction of protein-protein interactions from structures.Learning a peptide-protein binding affinity predictor with kernel ridge regression.It's the machine that matters: Predicting gene function and phenotype from protein networks.Protein-ligand interaction prediction: an improved chemogenomics approach.
P2860
Q28751419-4ACBEB85-5601-469E-AABD-F71DC51D2646Q30372446-9BBE150A-EA4F-4774-9277-F382DA50B908Q30374294-4D8CA582-B252-4B34-BD80-C6DE8E1FA7FCQ33367388-6588E100-CAF9-4E64-8699-EC6D170EAB0BQ33371114-A00260DB-3F5F-44AE-9225-F731251AF880Q33542870-30A33748-C4E3-49F4-A348-6B45528C6583Q34622472-7D9E11B7-EB83-4DEF-A977-B6324C620AC3Q37773558-259CCF91-A01F-4898-BECE-76319561C119Q42948052-D5B8857F-2BC2-436A-B27E-CA6EEC26A7CD
P2860
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
A structural alignment kernel for protein structures.
@en
type
label
A structural alignment kernel for protein structures.
@en
prefLabel
A structural alignment kernel for protein structures.
@en
P2093
P356
P1433
P1476
A structural alignment kernel for protein structures.
@en
P2093
Jean-Philippe Vert
Martial Hue
P304
P356
10.1093/BIOINFORMATICS/BTL642
P407
P577
2007-01-18T00:00:00Z