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

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Bibliographic Details
Title: Novel insight into CFTR gene's single nucleotide variants classification via in-silico analysis of a conserved site.
Authors: Rafique, Hassan1, hassanrafique281@gmail.com, Safdar, Anum2, anumsaffdar1995@gmail.com, Ghani, Muhammad Usman2, usman.camb@pu.edu.pk, Khan, Muhammad Umer3, muhammad.umer4@mlt.uol.edu.pk, Mehdi, Zohair1, Zohair.mehdi2022@gmail.com, Aqeel, Hajra2, mehajraawan@gmail.com, Arshad CH, Iqra1, Iqra52429@gmail.com, Rehman, Hafiz Muzzammel4, muzzammel.phd.ibb@pu.edu.pk, Kanwal, Faheem3, kanwalf674@gmail.com, Ali, Qurban5, saim1692@gmail.com, Ali, Muhammad6, ali.iags@pu.edu.pk, Ahmad, Ajaz7, ajukash@gmail.com, Iqbal, Adnan8, a.iqbal@ihar.edu.pl
Source: Journal of Computer-Aided Molecular Design; 12/3/2025, Vol. 40 Issue 1, p1-16, 16p
Database: Applied Science & Technology Source
Description
ISSN:0920654X
DOI:10.1007/s10822-025-00718-w