Structural prioritization of Andrographis paniculata diterpenoids at the interface between PCSK9 and LDLR

Proprotein convertase subtilisin/kexin type 9 (PCSK9) engages the epidermal growth factor-like repeat A of the low-density lipoprotein receptor (LDLR) through a broad, solvent-exposed protein-protein interface, making structural complementarity more informative than docking score alone. Six Andrographis paniculata diterpenoids were compared by triplicate seeded AutoDock Vina docking against the PCSK9-LDLR interface, prospective mapping of 19 PCSK9 contact residues, physicochemical and absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiling, receptor-model qualification, and matched 1 ns molecular-dynamics simulations of the affinity-ranked isoandrographolide (L05) and interface-ranked andrograpanin (L06) complexes. Median docking affinities spanned only − 5.6 to − 6.3 kcal mol-1. L05 gave the most favorable median score (− 6.3 kcal mol-1), whereas L06 reproducibly occupied a broader recognition footprint involving SER153, PRO155, ASP238, ALA239, ILE369, PHE379, VAL380, and SER381. The sequence-verified PCSK9 153–446 model retained low short-timescale backbone fluctuations. In matched simulations, L06 showed lower protein-aligned ligand root-mean-square deviation (RMSD) than L05 (0.0961 vs. 0.1355 nm), a higher proportion of frames containing at least one hydrogen bond (58.4% vs. 47.5%), and broad residue-level occupancy across proximal, central, and distal LDLR-recognition segments during the sampled interval. These observations distinguish affinity ranking from short-timescale interface engagement and prioritize andrograpanin for interface-directed experimental testing. Because the trajectories were 1 ns, unreplicated, and not designed to establish convergence, residue occupancy and hydrogen-bond frequencies are descriptive of the sampled trajectories; no binding free-energy or biochemical measurements were obtained. The findings therefore represent structure-based prioritization rather than evidence of PCSK9-LDLR inhibition.

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Journal
Discover Chemistry.
Published
2026-10-28
DOI
https://doi.org/10.1007/s44371-026-01049-x
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Structural prioritization of Andrographis paniculata diterpenoids at the interface between PCSK9 and LDLR

Armania Nurdin, Muhammad Nazrul Somchit, Zuraini Ahmad, Mohd Sofian Omar Fauzee
Discover Chemistry.
Computational Drug Discovery Methods
article

Structural prioritization of Andrographis paniculata diterpenoids at the interface between PCSK9 and LDLR

Armania Nurdin, Muhammad Nazrul Somchit, Zuraini Ahmad, Mohd Sofian Omar Fauzee
article en

Abstract

Proprotein convertase subtilisin/kexin type 9 (PCSK9) engages the epidermal growth factor-like repeat A of the low-density lipoprotein receptor (LDLR) through a broad, solvent-exposed protein-protein interface, making structural complementarity more informative than docking score alone. Six Andrographis paniculata diterpenoids were compared by triplicate seeded AutoDock Vina docking against the PCSK9-LDLR interface, prospective mapping of 19 PCSK9 contact residues, physicochemical and absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiling, receptor-model qualification, and matched 1 ns molecular-dynamics simulations of the affinity-ranked isoandrographolide (L05) and interface-ranked andrograpanin (L06) complexes. Median docking affinities spanned only − 5.6 to − 6.3 kcal mol-1. L05 gave the most favorable median score (− 6.3 kcal mol-1), whereas L06 reproducibly occupied a broader recognition footprint involving SER153, PRO155, ASP238, ALA239, ILE369, PHE379, VAL380, and SER381. The sequence-verified PCSK9 153–446 model retained low short-timescale backbone fluctuations. In matched simulations, L06 showed lower protein-aligned ligand root-mean-square deviation (RMSD) than L05 (0.0961 vs. 0.1355 nm), a higher proportion of frames containing at least one hydrogen bond (58.4% vs. 47.5%), and broad residue-level occupancy across proximal, central, and distal LDLR-recognition segments during the sampled interval. These observations distinguish affinity ranking from short-timescale interface engagement and prioritize andrograpanin for interface-directed experimental testing. Because the trajectories were 1 ns, unreplicated, and not designed to establish convergence, residue occupancy and hydrogen-bond frequencies are descriptive of the sampled trajectories; no binding free-energy or biochemical measurements were obtained. The findings therefore represent structure-based prioritization rather than evidence of PCSK9-LDLR inhibition.

Discover Chemistry.Vol. 3(1)
INTI International University (MY), Universiti Putra Malaysia (MY)
Openalex Percentile: Top 13%
Computational Drug Discovery Methods
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