Advanced Enalos Asclepios Pipeline for TNF Inhibitor Discovery

How NovaMechanics used the upgraded Enalos Asclepios KNIME nodes with advanced molecular dynamics, docking, and binding free energy calculations to identify new natural product TNF inhibitors — including Nepalensinol B, which completely abolished TNF-TNFR1 binding.

Published in International Journal of Molecular Sciences
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Next-Generation TNF Inhibitors from Natural Products

Building on Previous TNF Discoveries

Tumor necrosis factor (TNF) is a critical inflammatory cytokine implicated in autoimmune and inflammatory diseases. Previous work identified Ampelopsin H as a natural product TNF inhibitor capable of disrupting TNF trimers. The challenge was to find new, more potent analogs and demonstrate the power of a fully automated drug discovery pipeline. Using the upgraded Enalos Asclepios KNIME nodes, NovaMechanics sought structural analogs in the vast PubChem chemical database to identify superior TNF inhibitors. The goal extended beyond mere discovery — to showcase the comprehensive capability of the Enalos Asclepios workflow spanning from similarity searches through docking to extended 1000ns molecular dynamics simulations and binding free energy calculations.

113
Compounds identified through similarity search in PubChem
1000 ns
Molecular dynamics simulations for binding validation
Abolished
TNF-TNFR1 binding by Nepalensinol B at >50 μM

Our Approach

A fully automated drug discovery pipeline from PubChem search to TNF-TNFR1 binding validation

Similarity Search & Compound Selection

Searched PubChem for structural analogs of Ampelopsin H, a known TNF trimer disruptor. Identified 113 compounds through similarity search, refined through docking to 53 promising candidates, of which 9 were commercially available for immediate testing.

Molecular Docking with Enalos Asclepios

Used the advanced Enalos Asclepios KNIME nodes for automated preparation and docking of all candidates into the TNF active site. Ampelopsin H scored −45.140 as the reference benchmark, with candidates ranked by docking score and binding energetics.

Extended Molecular Dynamics (1000 ns)

Ran 1000ns molecular dynamics simulations using the fully automated Enalos Asclepios pipeline. This provided deep insight into binding stability, protein-ligand interaction dynamics, and conformational equilibration.

Binding Free Energy Calculations

Computed MM-GBSA and YANK binding affinity calculations from the extended MD trajectories. Nepalensinol B showed the lowest binding free energy (~−35 kcal/mol) and the highest number of hydrogen bonds with TNF, establishing it as the most promising candidate.

Phenotypic Pharmacological Testing

Tested 9 commercially available compounds in L929 cytotoxicity assays and primary murine joint synovial fibroblasts. Two compounds — Nepalensinol B and Miyabenol A — efficiently reduced TNF-induced cytotoxicity and chemokine production.

TNF-TNFR1 Binding Disruption

Nepalensinol B completely abolished TNF-TNFR1 binding at non-toxic concentrations, with 100% blockade of the interaction at concentrations exceeding 50 μM. This makes Nepalensinol B a validated lead compound for TNF inhibitor drug development.

Key Results

−35 kcal/mol
Nepalensinol B Binding Energy
Lowest MM-GBSA free energy among all candidates
2 Hits
Active Compounds
Nepalensinol B and Miyabenol A from 9 tested
100%
TNF-TNFR1 Block
Complete abolishment of TNF receptor binding at >50 μM
1000 ns
MD Simulations
Extended dynamics for comprehensive binding analysis
53
Docking Hits
Promising compounds from 113 initial similarity search hits
Zero-Code
Enalos Asclepios
Fully automated KNIME pipeline from search to validation

Related Publication

Peer-Reviewed Paper

In Silico Identification and Evaluation of Natural Products as Potential Tumor Necrosis Factor Function Inhibitors Using Advanced Enalos Asclepios KNIME Nodes

Papadopoulou D., Drakopoulos A., Lagarias P., Melagraki G., Kollias G., Afantitis A. — International Journal of Molecular Sciences, 2021, 22(19):10220 — DOI: 10.3390/ijms221910220