EventsThe 19th International Electronic Conference on Synthetic Organic Chemistry
Published
This submission belongs to the session e. Computational Chemistry of the event The 19th International Electronic Conference on Synthetic Organic Chemistry
Published date
30 Oct, 2015
Citation
SANTOSH N. MOKALE, PRITAM NAGESH DUBE, VIVEKANAND A. CHATPALLIWAR, Insight into the structural requirement for Anticancer Activity: Pharmacophore Generation and 3D QSAR Analysis , in Proceedings of The 19th International Electronic Conference on Synthetic Organic Chemistry, 1 November–30 November 2015, MDPI: Basel, Switzerland, doi: 10.3390/ecsoc-19-e004
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Insight into the structural requirement for Anticancer Activity: Pharmacophore Generation and 3D QSAR Analysis

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SANTOSH N. MOKALE 2
VIVEKANAND A. CHATPALLIWAR 1
1. Department of Pharmaceutical Chemistry, SNJB’s SSD Jain College of Pharmacy, Neminagar, Chandwad, Nashik-423101, Maharashtra, India
2. Y. B. Chavan College of Pharmacy, Dr. Rafiq Zakaria Campus, Aurangabad-431001, M.S. India
Abstract

Transforming growth factor β receptor-associated kinase 1 (TAK1) or mitogen activated-protein kinase kinase kinase 7 (MAP3K7) is a serine/threonine kinase which forms a key part of canonical immune and inflammatory signaling pathways. A 5-point pharmacophore model was developed and the generated pharmacophore model was used to derive a predictive atom-based 3D quantitative structure–activity relationship analysis (3D-QSAR) model for the studied dataset. The obtained 3D-QSAR model has an excellent correlation coefficient value (r2 = 0.97) along with good statistical significance as shown by high Fisher ratio (F = 266.8). The QSAR model suggests that electron-withdrawing character, hydrogen bond-donating groups, hydrophobic and negative ionic groups positively contribute to the TAK1 inhibition.

Keywords
TAK1 inhibitors
anticancer
pharmacophore
3D QSAR
Manuscript
Poster
Sciforum-006519 Pritam Dube-ppt.pdf
Chemoinformatics in antibacterial drug discovery: Simultaneous modeling of anti-enterococci activities and ADMET profiles through the use of probabilistic quadratic indices
QSAR MODELING ON FUNGICIDAL ACTIVITY OF MANNICH BASES