2023
DOI: 10.1016/j.heliyon.2023.e16383
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High-throughput virtual screening of marine algae metabolites as high-affinity inhibitors of ISKNV major capsid protein: An analysis of in-silico models and DFT calculation to find novel drug molecules for fighting infectious spleen and kidney necrosis virus (ISKNV)

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Cited by 2 publications
(1 citation statement)
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“…Consequently, the precise efficacy of Tigogenin and Diosgenin in hindering the target protein in vitro and in vivo remains uncertain, requiring further wet-lab validations. Additionally, SBDD methods encounter challenges in various aspects, including benchmarking, constrained prediction approaches, and a lack of diverse datasets for different computational analyses [66]. Despite these challenges, the current investigation has the potential to shed light on the role of C. cuspidatus in uncovering antidiabetic therapeutics.…”
Section: Plos Onementioning
confidence: 99%
“…Consequently, the precise efficacy of Tigogenin and Diosgenin in hindering the target protein in vitro and in vivo remains uncertain, requiring further wet-lab validations. Additionally, SBDD methods encounter challenges in various aspects, including benchmarking, constrained prediction approaches, and a lack of diverse datasets for different computational analyses [66]. Despite these challenges, the current investigation has the potential to shed light on the role of C. cuspidatus in uncovering antidiabetic therapeutics.…”
Section: Plos Onementioning
confidence: 99%