A BRIEF REVIEW ON IN SILICO COMPARISON OF PHARMACOKINETIC PROFILES AND ADMET CONSTRAINTS: EVALUATING PHYTOCHEMICALS VERSUS SYNTHETIC ANALOGUES AS SARS-COV-2 INHIBITORS

The quick identification of antiviral medications that target SARS-CoV-2 was made necessary by the COVID-19 pandemic. The success of possible drug candidates is largely dependent on their Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties. Predicting ADMET qualities early on is crucial to preventing late-stage attrition because these characteristics are frequently rate-limiting in the drug development process. This paper offers a thorough in silico comparison of several phytochemicals with well-known synthetic analogues, such as Remdesivir, Nelfinavir, and Favipiravir. Phytochemicals were assessed against five crucial therapeutic targets using virtual screening via molecular docking and simulations: 3 Clpro (Mpro), RdRp, and ACE2. Despite sporadic issues with bioavailability and Lipinski's Rule breaches, our comparative research shows that phytochemicals typically display superior safety profiles and reduced toxicity, whereas synthetic medicines commonly exhibit high potency. The results imply that these identified phytochemicals' fundamental structures can be used as models for lead optimization.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-29
DOI
https://doi.org/10.5281/zenodo.20443992
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

A BRIEF REVIEW ON IN SILICO COMPARISON OF PHARMACOKINETIC PROFILES AND ADMET CONSTRAINTS: EVALUATING PHYTOCHEMICALS VERSUS SYNTHETIC ANALOGUES AS SARS-COV-2 INHIBITORS

Dere Aditya Sampat, Gadge Shrutika Pralhad, Datkhil Parth Dnyaneshwar, Gaikwad Sakshi Rajesh et al.
Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

A BRIEF REVIEW ON IN SILICO COMPARISON OF PHARMACOKINETIC PROFILES AND ADMET CONSTRAINTS: EVALUATING PHYTOCHEMICALS VERSUS SYNTHETIC ANALOGUES AS SARS-COV-2 INHIBITORS

Dere Aditya Sampat, Gadge Shrutika Pralhad, Datkhil Parth Dnyaneshwar, Gaikwad Sakshi Rajesh, Dongare Tanvi Sopan, Dhaygude Saurabh Hanumant, Lokhande Rahul Prakash
article en

Abstract

The quick identification of antiviral medications that target SARS-CoV-2 was made necessary by the COVID-19 pandemic. The success of possible drug candidates is largely dependent on their Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties. Predicting ADMET qualities early on is crucial to preventing late-stage attrition because these characteristics are frequently rate-limiting in the drug development process. This paper offers a thorough in silico comparison of several phytochemicals with well-known synthetic analogues, such as Remdesivir, Nelfinavir, and Favipiravir. Phytochemicals were assessed against five crucial therapeutic targets using virtual screening via molecular docking and simulations: 3 Clpro (Mpro), RdRp, and ACE2. Despite sporadic issues with bioavailability and Lipinski's Rule breaches, our comparative research shows that phytochemicals typically display superior safety profiles and reduced toxicity, whereas synthetic medicines commonly exhibit high potency. The results imply that these identified phytochemicals' fundamental structures can be used as models for lead optimization.

Zenodo (CERN European Organization for Nuclear Research)
Swarnabhoomi Academy of Music (IN), Hindu College of Pharmacy (IN)
Good health and well-being
Openalex Percentile: Top 4%
Computational Drug Discovery Methods
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A BRIEF REVIEW ON IN SILICO COMPARISON OF PHARMACOKINETIC PROFILES AND ADMET CONSTRAINTS: EVALUATING PHYTOCHEMICALS VERSUS SYNTHETIC ANALOGUES AS SARS-COV-2 INHIBITORS — Dere Aditya Sampat, Gadge Shrutika Pralhad, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS