Accelerating drug discovery for Disease X via an AlphaFold2 driven drug repositioning strategy.

Accelerating drug discovery for Disease X via an AlphaFold2 driven drug repositioning strategy.

Publication date: Sep 22, 2025

With global concerns about possible outbreaks of Disease X similar to COVID-19 in the future, it is crucial to develop and refine effective drug discovery strategies. Here, we reported a drug discovery strategy for Disease X combined with the FDA-approved drug database, AlphaFold (AF) predicted structures, and virtual screening of integrated our developed molecular docking method (MDCC). A case study of revisiting the main protease (M) of SARS-CoV-2 demonstrated that the lead drug can be discovered through this strategy. First, the M-peptidyl substrate complex structure was predicted using AF2 based on the amino acid sequences of M and its peptidyl substrate. Then, the AF2 predicted structure was optimized through molecular dynamics simulations employing a peptidyl substrate-induced binding pocket approach. Binding free energy analysis revealed that the optimized M exhibited enhanced affinity for the peptidyl substrate, with a ΔG of -103. 8 kcal mol. Subsequently, this optimized complex structure was used to perform MDCC-based virtual screening of 2005 FDA-approved drugs, from which six drug candidates were selected for M activity determination. Ultimately, Goserelin was identified as a lead compound against M, demonstrating a 75% inhibition rate. Further IC determination yielded values of 3. 79 μM (pH = 7. 5) and 2. 05 μM (pH = 6. 6), comparable to several reported noncovalent M inhibitors (X77, MCULE-5948770040, and ML188). This work provided a feasible drug discovery strategy in response to the Disease X.

Concepts Keywords
Database Approved
Fda Drug
Future Fda
Peptidyl Lead
Mdcc
Molecular
Optimized
Peptidyl
Predicted
Reported
Screening
Strategy
Substrate
Virtual

Semantics

Type Source Name
disease MESH COVID-19
drug DRUGBANK Goserelin

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