Detalhe da pesquisa
1.
BIONIC: biological network integration using convolutions.
Nat Methods
; 19(10): 1250-1261, 2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-36192463
2.
Improving Measures of Chemical Structural Similarity Using Machine Learning on Chemical-Genetic Interactions.
J Chem Inf Model
; 61(9): 4156-4172, 2021 09 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-34318674
3.
Publisher Correction: Integrating yeast chemical genomics and mammalian cell pathway analysis.
Acta Pharmacol Sin
; 41(5): 729, 2020 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-32081979
4.
MOSAIC: a chemical-genetic interaction data repository and web resource for exploring chemical modes of action.
Bioinformatics
; 34(7): 1251-1252, 2018 04 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29206899
5.
Errata: Functional annotation of chemical libraries across diverse biological processes.
Nat Chem Biol
; 13(12): 1286, 2017 Nov 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-29161244
6.
Errata: Functional annotation of chemical libraries across diverse biological processes.
Nat Chem Biol
; 13(12): 1286, 2017 Nov 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-29161247
7.
Functional annotation of chemical libraries across diverse biological processes.
Nat Chem Biol
; 13(9): 982-993, 2017 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-28759014
8.
Predicting bioprocess targets of chemical compounds through integration of chemical-genetic and genetic interactions.
PLoS Comput Biol
; 14(10): e1006532, 2018 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-30376562
9.
Integrating yeast chemical genomics and mammalian cell pathway analysis.
Acta Pharmacol Sin
; 40(9): 1245-1255, 2019 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-31138898
10.
Plant-derived antifungal agent poacic acid targets ß-1,3-glucan.
Proc Natl Acad Sci U S A
; 112(12): E1490-7, 2015 Mar 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-25775513
11.
Identification of triazenyl indoles as inhibitors of fungal fatty acid biosynthesis with broad-spectrum activity.
Cell Chem Biol
; 30(7): 795-810.e8, 2023 07 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-37369212
12.
Jerveratrum-Type Steroidal Alkaloids Inhibit ß-1,6-Glucan Biosynthesis in Fungal Cell Walls.
Microbiol Spectr
; 10(1): e0087321, 2022 02 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-35019680
13.
Clionamines stimulate autophagy, inhibit Mycobacterium tuberculosis survival in macrophages, and target Pik1.
Cell Chem Biol
; 29(5): 870-882.e11, 2022 05 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-34520745
14.
High-throughput platform for yeast morphological profiling predicts the targets of bioactive compounds.
NPJ Syst Biol Appl
; 8(1): 3, 2022 01 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-35087094
15.
Genome-wide screening of genes associated with momilactone B sensitivity in the fission yeast Schizosaccharomyces pombe.
G3 (Bethesda)
; 11(8)2021 08 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-33956138
16.
Using BEAN-counter to quantify genetic interactions from multiplexed barcode sequencing experiments.
Nat Protoc
; 14(2): 415-440, 2019 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-30635653
17.
A global genetic interaction network maps a wiring diagram of cellular function.
Science
; 353(6306)2016 09 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-27708008
18.
Chemical genomic profiling via barcode sequencing to predict compound mode of action.
Methods Mol Biol
; 1263: 299-318, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-25618354
19.
Unbiased screening of marine sponge extracts for anti-inflammatory agents combined with chemical genomics identifies girolline as an inhibitor of protein synthesis.
ACS Chem Biol
; 9(1): 247-57, 2014 Jan 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-24117378