Quantum Forge — Next-Generation Transition State MLIP & Quantum Chemistry Reaction Dynamics Workstation
Quantum Forge is a high-performance web-based computational chemistry laboratory and interactive 3D molecular dynamics workstation created by Ali Asghar (aliasgharinnocent@yahoo.com). It bridges modern web browsers with high-level machine learning interatomic potentials (MACE, CHGNet, ANI-2x, GFN2-xTB), NEB transition state search algorithms, and desktop Avogadro 2 workflows.
Medical, Pharmaceutical & Veterinary Curricula Compendium
MBBS Curriculum (Human Medicine & Clinical Pharmacology)
Comprehensive transition state trajectories and thermodynamic profiles for essential therapeutics: Aspirin Serine-530/516 acetylation of COX-1/2, Paracetamol hepatic CYP2E1 oxidation into toxic NAPQI and N-acetylcysteine antidotal conjugation, Penicillin beta-lactam acyl-enzyme formation with bacterial penicillin-binding proteins, and local anesthetic sodium-channel blockade mechanisms.
Pharm-D Curriculum (Pharmaceutical Sciences & Medicinal Chemistry)
Advanced drug synthesis pathways, enantioselective esterification, activation barrier free energy calculations (ΔG‡, ΔH‡, ΔS‡), nucleophilic substitution kinetics, formulation stability, and prodrug activation mechanisms.
DVM Curriculum (Veterinary Medicine & Comparative Pharmacology)
Comparative veterinary pharmacokinetics, feline glucuronidation deficiencies, canine NSAID toxicity pathways, equine anesthetic biotransformation, and species-specific antimicrobial resistance profiles.
Machine Learning Interatomic Potentials (MLIP)
Quantum Forge executes sub-second energy and force evaluations utilizing equivariant message passing (MACE), Crystal Hamiltonian Graph Neural Networks (CHGNet), high-dimensional neural potentials (ANI-2x), and extended tight-binding semi-empirical methods (GFN2-xTB).
Legal & Academic Information
⚠️ Quantum Forge is an educational simulation and theoretical modeling platform — not for clinical diagnosis, prescribing, or medical treatment.
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