Evidence map›Paper›PMID 41331145›Full record

ArticleJournal of computer-aided molecular design2025

Novel insight into CFTR gene's single nucleotide variants classification via in-silico analysis of a conserved site.

Hassan Rafique, Anum Safdar, Muhammad Usman Ghani, Muhammad Umer Khan, Zohair Mehdi, Hajra Aqeel, Iqra Arshad Ch, Hafiz Muzzammel Rehman, Faheem Kanwal, Qurban Ali and 3 more

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Article in Journal of computer-aided molecular design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Hassan RafiqueCentre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.
Anum SafdarPrecision Genomics Research Lab, Centre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.
Muhammad Usman GhaniPrecision Genomics Research Lab, Centre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.
Muhammad Umer KhanInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Zohair MehdiCentre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.
Hajra AqeelPrecision Genomics Research Lab, Centre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.
Iqra Arshad ChCentre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.
Hafiz Muzzammel RehmanSchool of Biochemistry and Biotechnology, University of the Punjab, Lahore, Pakistan.
Faheem KanwalInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Qurban AliDepartment of Plant Breeding & Genetics, Faculty of Agriculture Sciences, University of the Punjab, P.O. Box 54590, Lahore, Pakistan. saim1692@gmail.com.
Muhammad AliDepartment of Entomology, Faculty of Agriculture Sciences, University of the Punjab, P.O. Box 54590, Lahore, Pakistan.
Ajaz AhmadDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, 11451, Riyadh, Saudi Arabia.
Adnan IqbalPlant Breeding and Acclimatization Institute-National Research Institute, 05-870, Radzikow, Blonie, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations in the CFTR gene play a pivotal role in the onset/severity of cystic fibrosis (CF). While our understanding of CFTR mutation classes is fragmented, this study focused on missense single nucleotide variants (SNVs) in the ABC transporter-like conserved site of the CFTR protein, employing various bioinformatics tools to identify deleterious amino acid substitutions (A.A.S). To gain a comparative understanding of the deleterious A.A.S in CFTR mutation classes, the in silico prediction of classified A.A.S by MutPred2 was cross-referenced with predictions of unclassified A.A.S. The study revealed twenty-five deleterious A.A.S in the conserved site. Nine of these (S549R, S549N, G551S, G551D, L558S, A559T, R560T, R560S, and A561E) were already classified. The in silico predictions for the remaining sixteen A.A.S exhibited similarities to molecular variations predicted for classified CFTR mutations and identified nine A.A.S falling under class II and seven A.A.S falling under class III, while four of these A.A.S in this conserved site may have effects of class II and III mutations. However, this classification is relative, warranting a comprehensive analysis to elucidate the intricacies of these nsSNVs. The combined use of modulators in therapy holds promise for more effective CF management, recognizing that CFTR mutations may exert effects that extend beyond a single class of mutation.

Indexed as

Cystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorPolymorphism, Single NucleotideAmino Acid SubstitutionComputational BiologyComputer SimulationConserved SequenceHumansMutation, MissenseCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorABC transporter like conserved siteCFTR conserved siteCFTR mutationsCystic fibrosisSNV

Identifiers

PMID41331145

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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.