Constructing and Validating High-Performance MIEC-SVM Models in Virtual Screening for Kinases: A Better Way for Actives Discovery.
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Performance of machine-learning scoring functions in structure-based virtual screening.Prediction of luciferase inhibitors by the high-performance MIEC-GBDT approach based on interaction energetic patterns.The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity Prediction.Efficient iterative virtual screening with Apache Spark and conformal prediction.
P2860
Constructing and Validating High-Performance MIEC-SVM Models in Virtual Screening for Kinases: A Better Way for Actives Discovery.
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
@zh
2016年论文
@zh-cn
name
Constructing and Validating Hi ...... ter Way for Actives Discovery.
@en
type
label
Constructing and Validating Hi ...... ter Way for Actives Discovery.
@en
prefLabel
Constructing and Validating Hi ...... ter Way for Actives Discovery.
@en
P2093
P2860
P356
P1433
P1476
Constructing and Validating Hi ...... ter Way for Actives Discovery.
@en
P2093
Huiyong Sun
Peichen Pan
Sheng Tian
Xiaotian Kong
Youyong Li
P2860
P2888
P356
10.1038/SREP24817
P407
P50
P577
2016-04-22T00:00:00Z