2020
DOI: 10.1080/07391102.2020.1804453
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Identification of potential Leishmania chagasi superoxide dismutase allosteric modulators by structure-based computational approaches: homology modelling, molecular dynamics and pharmacophore-based virtual screening

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Cited by 4 publications
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“…In 2021, similar computational approaches notably led to identifying phytochemical inhibitors of squalene synthase [141] and selective inhibitors of dihydrofolate reductase [142] in L. donovani. Allosteric modulators of superoxide dismutase in L. chagasi were also identified [143]. However, virtual screening appears ever more efficient with the development of methodological tools [140,144], but several potential biases were reported [145].…”
Section: Recent Technological Advances Enabling the Development Of New Research Tools In The Drug Development Processmentioning
confidence: 99%
“…In 2021, similar computational approaches notably led to identifying phytochemical inhibitors of squalene synthase [141] and selective inhibitors of dihydrofolate reductase [142] in L. donovani. Allosteric modulators of superoxide dismutase in L. chagasi were also identified [143]. However, virtual screening appears ever more efficient with the development of methodological tools [140,144], but several potential biases were reported [145].…”
Section: Recent Technological Advances Enabling the Development Of New Research Tools In The Drug Development Processmentioning
confidence: 99%