ResFungi: A Novel Protein Database of Antifungal Drug Resistance Genes Using a Hidden Markov Model Profile-Reference-Cited by-同舟云学术

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ResFungi: A Novel Protein Database of Antifungal Drug Resistance Genes Using a Hidden Markov Model Profile

Published:2024-07-04 Issue:28 Volume:9 Page:30559-30570
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Santana de Carvalho Daniel¹^ORCID,Bastos Rafael Wesley²,Rossato Luana³,Teixeira de Aguiar Peres Nalu¹,Assis Santos Daniel¹^ORCID

Affiliation:

1. Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte, Minas Gerais, Brazil

2. Bioscience Center, Federal University of Rio Grande do Norte, 59064-741 Natal, Brazil

3. Faculdade de Ciências da Saúde, Universidade Federal da Grande Dourados, 79825-070 Dourados, Brazil

Funder

Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico

Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior

Institutos Nacionais de Ci?ncia e Tecnologia

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c02198

Reference45 articles.

1. Hidden Killers: Human Fungal Infections

2. Mechanisms of Antifungal Drug Resistance

3. Screening for amino acid substitutions in the Candida albicans Erg11 protein of azole-susceptible and azole-resistant clinical isolates: new substitutions and a review of the literature

4. Single-tube PCR coupled with mini-sequencing assay for the detection of cyp51A and cyp51B polymorphisms in Aspergillus fumigatus

5. From the environment to the host: How non-azole agrochemical exposure affects the antifungal susceptibility and virulence of Cryptococcus gattii

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