Deciphering the anticancer potential of Lannea coromandelica targeting apoptosis signal-regulatory kinase 1 via advanced computational biology approaches

Colorectal cancer (CRC) is one of the leading causes of cancer-related mortality globally. The rising expenses, significant side effects, and increasing resistance to traditional CRC treatments suggest the critical need for new and more effective therapeutic options. This study explored the anticancer potential of Lannea coromandelica (Houtt.) Merr. phytocompounds targeting the promising apoptosis signal-regulatory kinase 1 (ASK1) protein using computational biology approaches including molecular docking, ADMET analysis, molecular dynamics (MD) simulation, and MM/GBSA calculations. Virtual screening of the 17 phytoconstituents identified two lead compounds: ellagic acid and physcion, with binding affinities of -9.6 kcal/mol and -9.3 kcal/mol, respectively. ADMET analysis revealed favorable pharmacokinetic, pharmacodynamic, and toxicity profiles for the lead compounds. MD simulations supported the stability and compactness of the two leads in comparison to the control drug erbitux for 200 ns. The lead compounds displayed fewer rotatable bonds compared to Erbitux, resulting in lower torsional flexibility and greater stability during the simulations. PCA-based essential dynamics analysis demonstrated highly similar global motions in phase space for both lead compounds and erbitux, indicating comparable dynamic properties. Free binding energy calculations identified ellagic acid (-69.20 kcal/mol) as the superior lead compound over physcion (-65.68 kcal/mol). These results may open new avenues for the development of novel drug candidates targeting colorectal cancer. Dhaka Univ. J. Biol. Sci. 34(1): 1-23, 2025 (January)

Authors

Institutions

Publication Details

Journal
Dhaka University Journal of Biological Sciences
Published
2025-02-23
DOI
https://doi.org/10.3329/dujbs.v34i1.79834
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deciphering the anticancer potential of Lannea coromandelica targeting apoptosis signal-regulatory kinase 1 via advanced computational biology approaches

Sheikh Sunzid Ahmed, M Oliur Rahman
1 citations
Dhaka University Journal of Biological Sciences
Computational Drug Discovery Methods
1.50
article

Deciphering the anticancer potential of Lannea coromandelica targeting apoptosis signal-regulatory kinase 1 via advanced computational biology approaches

Sheikh Sunzid Ahmed, M Oliur Rahman
article en
1 citations

Abstract

Colorectal cancer (CRC) is one of the leading causes of cancer-related mortality globally. The rising expenses, significant side effects, and increasing resistance to traditional CRC treatments suggest the critical need for new and more effective therapeutic options. This study explored the anticancer potential of Lannea coromandelica (Houtt.) Merr. phytocompounds targeting the promising apoptosis signal-regulatory kinase 1 (ASK1) protein using computational biology approaches including molecular docking, ADMET analysis, molecular dynamics (MD) simulation, and MM/GBSA calculations. Virtual screening of the 17 phytoconstituents identified two lead compounds: ellagic acid and physcion, with binding affinities of -9.6 kcal/mol and -9.3 kcal/mol, respectively. ADMET analysis revealed favorable pharmacokinetic, pharmacodynamic, and toxicity profiles for the lead compounds. MD simulations supported the stability and compactness of the two leads in comparison to the control drug erbitux for 200 ns. The lead compounds displayed fewer rotatable bonds compared to Erbitux, resulting in lower torsional flexibility and greater stability during the simulations. PCA-based essential dynamics analysis demonstrated highly similar global motions in phase space for both lead compounds and erbitux, indicating comparable dynamic properties. Free binding energy calculations identified ellagic acid (-69.20 kcal/mol) as the superior lead compound over physcion (-65.68 kcal/mol). These results may open new avenues for the development of novel drug candidates targeting colorectal cancer. Dhaka Univ. J. Biol. Sci. 34(1): 1-23, 2025 (January)

Dhaka University Journal of Biological SciencesVol. 34(1)
University of Dhaka (BD)
Openalex Percentile: Top 19%
Computational Drug Discovery Methods
1.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.