A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces.
about
Highly Accurate Prediction of Protein-Protein Interactions via Incorporating Evolutionary Information and Physicochemical CharacteristicsSpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots.Data Analysis in Chemistry and Bio-Medical Sciences.3DCONS-DB: A Database of Position-Specific Scoring Matrices in Protein Structures.Exploring the potential of 3D Zernike descriptors and SVM for protein-protein interface prediction.
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A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
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2016年论文
@zh-cn
name
A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces.
@en
type
label
A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces.
@en
prefLabel
A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces.
@en
P2093
P2860
P50
P356
P1476
A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces
@en
P2093
André Melo
Maria Natália D S Cordeiro
Robert Fieldhouse
P2860
P356
10.3390/IJMS17081215
P407
P577
2016-07-27T00:00:00Z