Detalhe da pesquisa
1.
Systems biology approach to functionally assess the Clostridioides difficile pangenome reveals genetic diversity with discriminatory power.
Proc Natl Acad Sci U S A
; 119(18): e2119396119, 2022 05 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-35476524
2.
BiGG Models 2020: multi-strain genome-scale models and expansion across the phylogenetic tree.
Nucleic Acids Res
; 48(D1): D402-D406, 2020 01 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-31696234
3.
Functional annotation of enzyme-encoding genes using deep learning with transformer layers.
Nat Commun
; 14(1): 7370, 2023 11 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-37963869
4.
Mathematical models to study the biology of pathogens and the infectious diseases they cause.
iScience
; 25(4): 104079, 2022 Apr 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-35359802
5.
A workflow for generating multi-strain genome-scale metabolic models of prokaryotes.
Nat Protoc
; 15(1): 1-14, 2020 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31863076
6.
High-Quality Genome-Scale Models From Error-Prone, Long-Read Assemblies.
Front Microbiol
; 11: 596626, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-33281796
7.
Reconstruction and Validation of a Genome-Scale Metabolic Model of Streptococcus oralis (iCJ415), a Human Commensal and Opportunistic Pathogen.
Front Genet
; 11: 116, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32194617
8.
Systems biology analysis of the Clostridioides difficile core-genome contextualizes microenvironmental evolutionary pressures leading to genotypic and phenotypic divergence.
NPJ Syst Biol Appl
; 6(1): 31, 2020 10 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-33082337
9.
Comparative Genome-Scale Metabolic Modeling of Metallo-Beta-Lactamase-Producing Multidrug-Resistant Klebsiella pneumoniae Clinical Isolates.
Front Cell Infect Microbiol
; 9: 161, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31179245
10.
iCN718, an Updated and Improved Genome-Scale Metabolic Network Reconstruction of Acinetobacter baumannii AYE.
Front Genet
; 9: 121, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29692801