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