Evidence map›Paper›PMID 39422772›Full record

ArticleArchives of microbiology2024

Investigating role of positively selected genes and mutation sites of ERG11 in drug resistance of Candida albicans.

Prayagraj Fandilolu, Chandan Kumar, Dushyant Palia, Susan Idicula-Thomas

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Article in Archives of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Prayagraj Fandilolu *Biomedical Informatics Centre, ICMR-National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, 400012, India.
Chandan Kumar *Biomedical Informatics Centre, ICMR-National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, 400012, India.
Dushyant PaliaBiomedical Informatics Centre, ICMR-National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, 400012, India.
Susan Idicula-ThomasBiomedical Informatics Centre, ICMR-National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, 400012, India. thomass@nirrch.res.in.

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/PR40165/BTIS/137/12/2021Science and Engineering Research Board CRG/2021/004937
6 · The paper itself

Abstract

The steep increase in acquired drug resistance in Candida isolates has posed a great challenge in the clinical management of candidiasis globally. Information of genes and codon sites that are positively selected during evolution can provide insights into the mechanisms driving antifungal resistance in Candida. This study aimed to create a manually curated list of genes of Candida spp. reported to be associated with antifungal resistance in literature, and further investigate the structure-function implications of positively selected genes and mutation sites. Sequence analysis of antifungal drug resistance associated gene sequences from various species and strains of Candida revealed that ERG11 and MRR1 of C. albicans were positively selected during evolution. Four sites in ERG11 and two sites in MRR1 of C. albicans were positively selected and associated with drug resistance. These four sites (132, 405, 450, and 464) of ERG11 are predictive markers for azole resistance and have evolved over time. A well-characterized crystal structure of sterol-14-α-demethylase (CYP51) encoded by ERG11 is available in PDB. Therefore, the stability of CYP51 in complex with fluconazole was evaluated using MD simulations and molecular docking studies for two mutations (Y132F and Y132H) reported to be associated with azole resistance in literature. These mutations induced high flexibility in functional motifs of CYP51. It was also observed that residues such as I304, G308, and I379 of CYP51 play a critical role in fluconazole binding affinity. The insights gained from this study can further guide drug design strategies addressing antimicrobial resistance.

Indexed as

Antifungal AgentsCandida albicansDrug Resistance, FungalFluconazoleFungal ProteinsMutationCytochrome P-450 Enzyme SystemMicrobial Sensitivity TestsMolecular Docking SimulationMolecular Dynamics SimulationSterol 14-DemethylaseAntifungal Agentscytochrome P-450 CYP51, Candida albicansCytochrome P-450 Enzyme SystemFluconazoleFungal ProteinsSterol 14-DemethylaseAntifungal drug resistanceCandidiasisCYP51ERG11EvolutionPositive selectionSterol-14-α demethylase

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.