In-Silico Identification of the Best Compound Against Leishmania infantum: High Throughput Screening of All FDA Approved Drugs | Zendy

Saki Takenaka | Zendy; Farnoush Shadnoush | Zendy; Reza Arjmand | Zendy; Fakher Rahim | Zendy

Open Access

In-Silico Identification of the Best Compound Against <i>Leishmania infantum</i>: High Throughput Screening of All FDA Approved Drugs

Author(s) -

Saki Takenaka,

Farnoush Shadnoush,

Reza Arjmand,

Fakher Rahim

Publication year - 2019

Publication title -

turkish journal of parasitology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.207

H-Index - 18

eISSN - 2146-3077

pISSN - 1300-6320

DOI - 10.4274/tpd.galenos.2019.6290

Subject(s) - leishmania infantum , in silico , computational biology , identification (biology) , leishmania , biology , pharmacology , medicine , leishmaniasis , genetics , computer science , gene , visceral leishmaniasis , world wide web , parasite hosting , botany

Current in-silico research was designed and administered for the screening of 20000 Food and Drug Administration-approved drug compounds with the goal of finding promising drugs against lipophosphoglycan (LPG) and γ-glutamylcysteine synthetase (γ-GCS) of Leishmania infantum .

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research