New insights toward the discovery of antibacterial agents: multi-tasking QSBER model for the simultaneous prediction of anti-tuberculosis activity and toxicological profiles of drugs.
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Machine-learning techniques applied to antibacterial drug discoveryExperimental and computational studies of fatty acid distribution networks.Model for vaccine design by prediction of B-epitopes of IEDB given perturbations in peptide sequence, in vivo process, experimental techniques, and source or host organismsMultitasking models for quantitative structure-biological effect relationships: current status and future perspectives to speed up drug discovery.Chemoinformatics for medicinal chemistry: in silico model to enable the discovery of potent and safer anti-cocci agents.Model for high-throughput screening of multitarget drugs in chemical neurosciences: synthesis, assay, and theoretic study of rasagiline carbamates.
P2860
New insights toward the discovery of antibacterial agents: multi-tasking QSBER model for the simultaneous prediction of anti-tuberculosis activity and toxicological profiles of drugs.
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2013 nî lūn-bûn
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2013年の論文
@ja
2013年学术文章
@wuu
2013年学术文章
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2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
@zh-my
2013年学术文章
@zh-sg
2013年學術文章
@yue
2013年學術文章
@zh-hant
name
New insights toward the discov ...... xicological profiles of drugs.
@en
New insights toward the discov ...... xicological profiles of drugs.
@nl
type
label
New insights toward the discov ...... xicological profiles of drugs.
@en
New insights toward the discov ...... xicological profiles of drugs.
@nl
prefLabel
New insights toward the discov ...... xicological profiles of drugs.
@en
New insights toward the discov ...... xicological profiles of drugs.
@nl
P1476
New insights toward the discov ...... xicological profiles of drugs.
@en
P2093
M Natália D S Cordeiro
Valeria V Kleandrova
P304
P356
10.1016/J.EJPS.2013.01.011
P407
P577
2013-02-01T00:00:00Z