Safee Ullah Chaudhary

Conservation of the hydrogen-bond network in bacterial response regulators

This study uses molecular dynamics to analyze the hydrogen-bond network in bacterial response regulators, showing its conservation and role in allostery.

Causality Mapping Using Resting-state fMRI Reveals Hyperactivity and Hypoconnectivity in Schizophrenia Patients

This study uses resting-state fMRI and causal analysis to show hyperactivity and hypoconnectivity in schizophrenia patients compared to healthy controls.

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.

Navigating Multi-scale Cancer Systems Biology towards Model-driven Personalized Therapeutics

This paper reviews the development of cancer systems biology models and their integration with patient data to support personalized therapeutics, highlighting the need for a unified multi-scale modeling pipeline.

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.

Causality Mapping Using Resting-State fMRI reveals Suppressed Functional Connectivity in Schizophrenia Patients

This study uses resting-state fMRI to analyze causal relationships in brain regions of schizophrenia patients, finding suppressed functional connectivity between temporal and frontal lobes and other areas.

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.