May 17, 2026
Light-Activated Therapeutics and Azo-Benzene Photo-Switches
Computer simulation of azo-benzene derived molecular photo-switches in proteins such as dihydrofolate reductase for cancer treatment.
OpenUsing molecular simulations and quantum-chemical calculations to study photophysical systems, drug-target interactions and candidate molecules.
3-Hydroxyflavone excited-state proton-transfer model
This model follows photoexcitation, proton transfer, solvent response and fluorescence in an ESIPT system.
Academic updates, computational notes, and progress reports.
May 17, 2026
Computer simulation of azo-benzene derived molecular photo-switches in proteins such as dihydrofolate reductase for cancer treatment.
OpenMay 23, 2026
Deep learning, ADMET calculations, DFT and DFTB methods for new and existing drugs, phytochemicals and therapeutic hit prioritization.
OpenMay 31, 2026
Optical and charge-transfer behavior in metals, carbon dots, AIE polymers and advanced photophysical materials.
OpenDr Farhan Siddique’s primary theoretical and computational chemistry fields of interest.
Computer simulation of azo-benzene derived molecular photo-switches in proteins such as dihydrofolate reductase for cancer treatment.
Deep learning, ADMET, DFT and DFTB workflows for new and existing drugs, phytochemicals and hit prioritization.
Optical and charge-transfer behaviors in metals, carbon dots, AIE polymers and advanced photophysical materials.
Non-adiabatic dynamics of charge-transfer states, excited states and anthracene-tetracyanoethylene prototype systems.
Molecular dynamics simulation of excited-state proton transfer and conical-intersection studies on betalains.
Comprehensive structure-to-lead modeling workflow executed at BZU.
Identifying and preparing therapeutic protein targets from biological databases.
High-throughput virtual screening of small molecules against target binding sites.
Simulating conformational stability and drug-target interactions over time.
Evaluating absorption, distribution, metabolism, excretion, and toxicity profiles.
Building quantitative structure-activity relationship models using machine learning.
Refining molecular structures to enhance binding affinity and selectivity.
Software, packages, and platforms utilized for molecular mechanics and quantum modeling.
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