bioRxivCancer Biology
BESFA: Bioinformatics based Evolutionary, Structural & Functional Analysis of Prostrate, Placenta, Ovary, Testis, and Embryo (POTE) Paralogs
S. Qazi, B. P. Jit, A. Das, M. Karthikeyan, A. Saxena, M. D. Ray, A. R. Singh, K. Raza, B. Jayaram, A. Sharma
Abstract
The POTE family comprises 14 paralogues and is primarily expressed in Prostrate, Placenta, Ovary, Testis, Embryo (POTE), and cancerous cells. The prospective function of the POTE protein family under physiological conditions is less understood. We systematically analyzed their cellular localization and molecular docking analysis to elucidate POTE proteins structure, function, and Adaptive Divergence. Our result discerns that group three POTE paralogs (POTEE, POTEF, POTEI, POTEJ, and POTEKP (a pseudogene)) exhibits significant variation among other members could be because of their Adaptive Divergence. Furthermore, our molecular docking studies on POTE protein revealed the highest binding affinity with NCI-approved anticancer compounds. Additionally, POTEE, POTEF, POTEI, and POTEJ were subject to an explicit molecular dynamic simulation for 50ns. MM-GBSA and other essential electrostatics were calculated that showcased that only POTEE and POTEF have absolute binding affinities with minimum energy exploitation. Thus, this studys outcomes are expected to drive cancer research to successful utilization of POTE genes family as a new biomarker, which could pave the way for the discovery of new therapies.
- organism: human
- assay: protein structure
- research focus: protein folding & dynamics
- approach: mechanistic / dynamical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A Molecular Docking Study Of Human STEAP2 For The Discovery Of New Potential Anti-Prostate Cancer Chemotherapeutic Candidates
T. Ongaba, N. Christian, N. J. Nakiddu·bioRxiv·Sep 2, 2021
- Identification of putative druggable pockets in PRL3, a significant oncology target, using in silico analysis
G. M. Bennett, J. Starczewski, M. V. C. dela Cerna·bioRxiv·Jul 31, 2023
- Loop Plasticity Drives Paralog-Specific Recognition in BET ET Domains
Guadalupe ÁLVAREZ, Elizabeth Sebastian, … Alberto Pérez·Journal of Chemical Information and ModelingPeer-reviewed·Apr 15, 2026
- Studying POU2F1 to Unveil the Structural Facet for Pan-Cancer Analysis Considering the Functional Annotations and Sequence-Structure Space Paradigm
A. Dey, Sagnik Sen, Ujjwal Maulik·bioRxiv·Oct 16, 2019
- Climbing up and down binding landscapes: a high-throughput study of mutational effects in homologous protein-protein complexes
M. Heyne, J. Shirian, … J. M. Shifman·bioRxiv·Oct 14, 2020
- Evolutionary and geometric signatures reveal ligand-binding sites across proteomes
Stelina Tarasi, Laura Malo, Alexis Molina·bioRxiv·Oct 7, 2025