Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning.
about
Chemogenomics and orthology-based design of antibiotic combination therapiesSystematic chemical-genetic and chemical-chemical interaction datasets for prediction of compound synergismHigh-throughput identification and rational design of synergistic small-molecule pairs for combating and bypassing antibiotic resistance.Transcriptome and network analyses in Saccharomyces cerevisiae reveal that amphotericin B and lactoferrin synergy disrupt metal homeostasis and stress response.Combinatorial strategies for combating invasive fungal infections.Collaborative drug discovery for More Medicines for Tuberculosis (MM4TB).Phytotherapy as an alternative to conventional antimicrobials: combating microbial resistance.DeepSynergy: Predicting anti-cancer drug synergy with Deep Learning.Antibiotic efficacy-context matters.Emerging and evolving concepts in gene essentiality.Antifungal Compounds against Candida Infections from Traditional Chinese Medicine.Genome-wide mutant profiling predicts the mechanism of a Lipid II binding antibiotic.Using Machine Learning to Predict Synergistic Antimalarial Compound Combinations With Novel StructuresMachine Learning in Agriculture: A Review
P2860
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P2860
Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年学术文章
@wuu
2015年学术文章
@zh-cn
2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
2015年學術文章
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2015年學術文章
@zh-hant
name
Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning.
@en
Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning.
@nl
type
label
Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning.
@en
Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning.
@nl
prefLabel
Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning.
@en
Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning.
@nl
P2093
P2860
P50
P1433
P1476
Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning
@en
P2093
David S Bellows
Emma Griffiths
Jan Wildenhain
Mike Tyers
Nick Jarvik
Rachel White
Sonam Dolma
P2860
P304
P356
10.1016/J.CELS.2015.12.003
P577
2015-12-23T00:00:00Z