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In-silico profiling of SLC6A19, for identification of delet..:
Al-Qahtani, Wahidah H.
;
Yuvaraj, Dinakarkumar
;
Sai Ramesh, Anjaneyulu
...
Computational Toxicology. 22 (2022) - p. 100215 , 2022
Link:
https://doi.org/10.1016/j.comtox.2022.100215
RT Journal T1
In-silico profiling of SLC6A19, for identification of deleterious ns-SNPs to enhance the Hartnup disease diagnosis
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.comtox.2022.100215&Exemplar=1&LAN=DE A1 Al-Qahtani, Wahidah H. A1 Yuvaraj, Dinakarkumar A1 Sai Ramesh, Anjaneyulu A1 Jayaradhika Raghuraman Rengarajan, Haryni A1 Karnan, Muthusamy A1 Rajabathar, Jothiramalingam A1 Charumathi, Arokiyaraj A1 Harishchandra Pangam, Sayali A1 Kameswari Devarakonda, Priyanka A1 Nadiminti, Gouthami A1 Sharma, Prikshit PB Elsevier BV YR 2022 SN 2468-1113 JF Computational Toxicology VO 22 SP 100215 LK http://dx.doi.org/https://doi.org/10.1016/j.comtox.2022.100215 DO https://doi.org/10.1016/j.comtox.2022.100215 SF ELIB - SuUB Bremen
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