Detalhe da pesquisa
1.
Complementary Dual Approach for In Silico Target Identification of Potential Pharmaceutical Compounds in Cystic Fibrosis.
Int J Mol Sci
; 23(20)2022 Oct 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-36293229
2.
CFTR Lifecycle Map-A Systems Medicine Model of CFTR Maturation to Predict Possible Active Compound Combinations.
Int J Mol Sci
; 22(14)2021 Jul 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-34299207
3.
Use of elexacaftor/tezacaftor/ivacaftor leads to changes in detection frequencies of Staphylococcus aureus and Pseudomonas aeruginosa dependent on age and lung function in people with cystic fibrosis.
Int J Infect Dis
; 139: 124-131, 2024 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-38036261
4.
Epidemiological trends in nontuberculous mycobacterial infection among people with cystic fibrosis in Germany.
Int J Infect Dis
; 129: 32-39, 2023 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-36736578
5.
Integrating Text Mining into the Curation of Disease Maps.
Biomolecules
; 12(9)2022 09 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-36139119
6.
Molecular Epidemiology of Mycobacterium abscessus Isolates Recovered from German Cystic Fibrosis Patients.
Microbiol Spectr
; 10(4): e0171422, 2022 08 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-35938728
7.
Comprehensive Analysis of Chemical Structures That Have Been Tested as CFTR Activating Substances in a Publicly Available Database CandActCFTR.
Front Pharmacol
; 12: 689205, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34955819
8.
CFTR: New insights into structure and function and implications for modulation by small molecules.
J Cyst Fibros
; 19 Suppl 1: S19-S24, 2020 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-31759907