Assessing the pathogenic potential of PIK3CA gene variants in human cancer using a computational approach.

Detroja R, Chakraborty J, Kulkarni M, Panchal K, Jain N, Desai M

DOI: 10.1080/07391102.2026.2726980
Published: 2026 Sep 3
Container: Journal of biomolecular structure & dynamics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/07391102.2026.2726980,
  title = {Assessing the pathogenic potential of PIK3CA gene variants in human cancer using a computational approach.},
  author = {Detroja R and Chakraborty J and Kulkarni M and Panchal K and Jain N and Desai M},
  year = {2026},
  journal = {Journal of biomolecular structure \& dynamics},
  doi = {10.1080/07391102.2026.2726980},
  url = {https://doi.org/10.1080/07391102.2026.2726980}
}

RIS

TY  - JOUR
TI  - Assessing the pathogenic potential of PIK3CA gene variants in human cancer using a computational approach.
AU  - Detroja R
AU  - Chakraborty J
AU  - Kulkarni M
AU  - Panchal K
AU  - Jain N
AU  - Desai M
PY  - 2026
JO  - Journal of biomolecular structure & dynamics
DO  - 10.1080/07391102.2026.2726980
UR  - https://doi.org/10.1080/07391102.2026.2726980
ER  -

APA

R, D., J, C., M, K., K, P., N, J., & M, D. (2026). Assessing the pathogenic potential of PIK3CA gene variants in human cancer using a computational approach.. Journal of biomolecular structure & dynamics. https://doi.org/10.1080/07391102.2026.2726980

Source records

pubmed · retrieved 2026-09-25T14:22:54.964Z