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ORIGINAL RESEARCH article

Front. Bioinform.

Sec. Drug Discovery in Bioinformatics

In Silico Identification of Novel Natural Compounds as Potential KIFC1 Inhibitors for the therapeutic intervention of Triple-Negative Breast Cancer

Provisionally accepted
  • 1Biological and Bio-computational Lab, Department of Life Sciences, Sharda School of Bio-Science Technology, Sharda University, Greater Noida, Uttar Pradesh, India, Greater Noida, India
  • 2Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia, Riyadh, Saudi Arabia
  • 3Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India, New Delhi, India
  • 4Associate Professor , Sharda University,, Greater Noida, India

The final, formatted version of the article will be published soon.

TNBC is an aggressive and various subtype of breast cancer, notable by the lack of specific oestrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), consequential in limited treatment options and poor prognosis. Kinesin Family Member C1 (KIFC1), a mitotic motor protein critical for centrosome clustering and spindle formation, has critical role in TNBC progress. In this situation, natural compounds were explored as probable inhibitors of this protein. we utilized molecular docking, ADMET profiling, density functional theory calculations, molecular dynamics simulations, MM/GBSA binding free energy analysis, and principal component analysis to thoroughly evaluate binding affinity, stability, and drug-likeness property of natural compounds against KIFC1. Of the 36,900 compounds utilized, five natural compounds were carefully chosen for further assessment. All five compounds Fosfocytocin, Molybdopterin Compound Z, 5-amino-2-(3-hydroxy-13-methyltetradecanamido) pentanoic acid, TMC-52A, and Muscimol exhibited significant inhibitory efficacy against KIFC1. These compounds demonstrated persistent interactions with critical residues and had advantageous binding properties in computational evaluations. The results collectively indicate their potential as effective inhibitors for targeting KIFC1 in forthcoming studies. These data collectively identify all five natural compounds as possible inhibitors of KIFC1. This is a provisional file, not the final typeset article Nonetheless, their effectiveness and safety must be confirmed through in vivo and in vitro study prior to consideration for clinical application.

Keywords: Triple negative breast cancer, KIFC1, natural compounds, MD simulation, Principal Component Analysis

Received: 20 Aug 2025; Accepted: 17 Nov 2025.

Copyright: © 2025 Tiwari, Chaudhary, KUMAR and Kumar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
MUKESH KUMAR, krmukesh11@gmail.com
Sanjay Kumar, drsanjaykumar82@gmail.com

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