BMC3PM: bioinformatics multidrug combination protocol for personalized precision medicine and its application in cancer treatment
Majid Mokhtari, Samane Khoshbakht, Mohammad Esmaeil Akbari, Sayyed Sajjad Moravveji · 2023
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Description
Majid Mokhtari, Samane Khoshbakht, Mohammad Esmaeil Akbari, and Sayyed Sajjad Moravveji published a precision medicine study in twenty twenty-three presenting a protocol that picks drug combinations patient by patient. Cancer drug screening for individuals is slow and costly. Their bioinformatics system instead reads each patient's disturbed gene pattern like a fingerprint and matches drugs against it.
Data covered over six thousand breast cancer patients, healthy controls, and nearly seven hundred drugs. Combinations mixing cancer and non-cancer drugs outperformed cancer-only sets in their analysis, a win for drug repurposing. Every patient's perturbed pattern proved unique. The protocol is offered as the front end for laboratory platforms that validate personalized combinations before treatment.
Catalog record
| CREATOR | Majid Mokhtari, Samane Khoshbakht, Mohammad Esmaeil Akbari, Sayyed Sajjad Moravveji |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |