Amir Faisal

CanSeer: A Method for Development and Clinical Translation of Personalized Cancer Therapeutics

CanSeer develops a multi-stage methodology to create in silico models for personalized cancer therapies using patient-specific multi-omics data and identifies effective drug combinations for specific cancer types.

TISON: a next-generation multi-scale modeling theatre for in silico systems oncology

TISON is a web-based platform for multi-scale cancer modeling that integrates biomolecular data and patient-specific information to support drug target discovery and personalized therapeutics.

Polycomb requires Tcp-1η chaperonin for maintaining gene silencing in Drosophila

This study identifies Tcp-1η as a chaperonin subunit that interacts with Polycomb to maintain gene silencing in Drosophila, supporting its role in PcG targeting and chromatin association.

In silico Drosophila Patient Model Reveals Optimal Combinatorial Therapies for Colorectal Cancer

This study develops an in silico Drosophila Patient Model to identify optimal combinatorial therapies for colorectal cancer using Boolean networks and patient-specific data.