Inhibitors for the hepatitis C virus RNA polymerase explored by SAR with advanced machine learning methods.
about
Finding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactionsDiscovery of Novel Hepatitis C Virus NS5B Polymerase Inhibitors by Combining Random Forest, Multiple e-Pharmacophore Modeling and DockingDevelopment and implementation of (Q)SAR modeling within the CHARMMing web-user interfaceImproved prediction of drug-target interactions using regularized least squares integrating with kernel fusion technique.Molecular simulations to delineate functional conformational transitions in the HCV polymerase.
P2860
Inhibitors for the hepatitis C virus RNA polymerase explored by SAR with advanced machine learning methods.
description
2013 nî lūn-bûn
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2013年の論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年论文
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2013年论文
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2013年论文
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name
Inhibitors for the hepatitis C ...... nced machine learning methods.
@en
type
label
Inhibitors for the hepatitis C ...... nced machine learning methods.
@en
prefLabel
Inhibitors for the hepatitis C ...... nced machine learning methods.
@en
P2093
P2860
P1476
Inhibitors for the hepatitis C ...... anced machine learning methods
@en
P2093
Ian F Thorpe
Igor V Filippov
Iwona E Weidlich
Jodian Brown
Neerja Kaushik-Basu
Ramalingam Krishnan
P2860
P304
P356
10.1016/J.BMC.2013.03.032
P407
P577
2013-03-29T00:00:00Z