Molecular Simulation and Design in Drug Discovery Jianhua Shen Drug Discovery and Design Center Shanghai Institute of Materia Medica Chinese Academy of Science Our Research • • • • Disease Alzheimer, HIV, Diabetes and Cardiovarscular disease Biomedical Molecules Acetylcholine esterase (AChE), β secretase, HIV reverse transcriptase (HIV RT), K+ Channel, Nuclear Receptor, Gelsolin, CXCR4 and GABAA receptor, etc. Simulation (molecular dynamics technique) Ligand-protein interaction (binding and unbinding processes) Conformational motion of protein Design (flexible molecular docking technique) Ligand Compound Discovery for disease treatment MD Simulation: Find an Open-Closing Switch in channel of AChE close open Minimize distance (nm) 0.8 0.6 open 0.4 0.2 AChE — Hup A — Water close 0.0 0 500 close 1000 1500 2000 2500 Time (ps) 3000 3500 4000 4500 500 Steered MD Simulation of Hup A Entering and Leaving the Channel of AChE Leave Enter Hup A takes effect very fast and has long time inhibition ! JACS, 2002 Force and Interactions During Hupzine A Enter into and Leave off the channel 6 5 4 3 2 1 0 D 72 D 72 1 3 0 15 10 5 0 D72 15 D72 Water Bridge Hydrophobic 6 D72 D7 2 D72 D72 D7 2 D 72 D72 9 2 0 18 12 6 0 12 3 D 72 HBond D72 D 72 D72 D 72 D 72 4 10 5 0 800 Force (pN) 800 600 400 200 0 -200 0 100 200 30 0 400 500 600 Time (ps) 700 800 900 1 000 1100 Channel Bottom → Channel Mouth 600 400 200 0 -200 0 100 20 0 300 400 500 600 Time (ps) Channel Mouth → Channel Bottom JACS, 2002 Movie of Hupzine A Leave from Channel of AChE Water Molecule & Cation–Pi Interaction in the Channel of AChE 20 Cation-Pi Binding Energy number of water Channel Bottom → Channel Mouth 15 5 4 3 2 1 0 10 5 0 100 200 300 400 500 600 700 800 900 1000 1100 0 0 1 2 3 Nu mber of Water Molecule 5 4 3 2 1 0 0 100 200 300 400 500 600 700 Time (ps) Channel Mouth → Channel Bottom Water molecules act as lubricant to facilitate HupA to move in the channel ! J. Phys. Chem. 2002 Long Time Simulation of HIV-RT Open and CloseMD Solvate Effect Provides the Energy forDomain HIV RT Domain Motion ! Motion Open → Close Close → Open Ligand Pro tein Potential E nergy Change (kcal/mol) DNA Free 1000 No solvate effect 800 600 400 Close → Open Add solvate effect 200 0 0 1 2 3 4 5 6 7 8 9 10 SimulationTime(ns) JMB 2002 Calculation for Binding Affinities Target Protein Virtual High Throughput Drug Screening Chemosynthesis Compound database Bioassay R2 N N ACD 3D ACD SC MDDR CNPD 300,000 2,000,000 100,000 50,000 R1 MD Simulation for Ligand and Protein Interaction N Virtual Combinatorial Library Design Platform of Drug Design Aided by Super Parallel Computer Computer Aided Design of Anti-alzheimer Lead Compound Reaches nano-Mol Activity Peripheral Site 9 nM 14 nM DOCKING Link 7 µM 100 µM New Compound 1997 Active Site 1998 1999 2000 Drug discovery based on the structure of PPAR nuclear receptor for anti-diabetes • Database with 2300,000 compound molecules virtually screened for PPARγ • 19 compounds selected and tested. 7 active compound found. • Chinese Natural Product Database with 50,000 compounds virtually screened and 2 active natural compounds found Successful Examples of Computer Aided Ligand Discovery in DDDC Disease Target Method Result • • • • Cardiovascular Arrhythmia Arrhythmia Alzheimer • • • Alzheimer Cancer Diabetes PFA receptor 3D-QSAR 3 compound activity than gingkgo lactone K+ channel 3D-QSAR 1 compound in preclinical phase K+ channel Virtual Screen 1 nature compound activity >1000s TEA AChE Virtual Screen & de novo design 1 compound with nano-mol activity β secretase Virtual screen 1 Compound with µMol activity MMP ZGB design 1 compound with nano-mol activity PPARγ Virtual screen 7 compounds and 2 natural compound with sub-µMol activity Faculty of Drug Discovery and Design Center • • • • • • • • • Prof. H. Jiang Prof. K. Chen Prof. J.K. Shen Dr. J. Gu Dr. J. Shen Dr. X. Luo Dr. X. Shen Dr. W. Zhao Dr. H. Liu Head • 3 Post-doc and 31 students Combinational Chemstry Computational Chemstry Biomolecular Simulation Computer Aided Drug Design Molecular Biology Natural Chemistry Medical Chemstry Computing Resources Hardware • SGI Origin 3400 64 CPU 32GB Memory and 2100MB Hard disk • SGI Origin 3200 4 CPU • Alpha Cluster 32 CPU 32GB Memory and 500MB Hard disk • 7 SGI visualization workstations • 2 Compaq Alpha Workstations • 398 CPU SW-1 Supercomputer (Shanghai Supercompter Center) Software Insight II Molecular Simulation Sybyl Drug Design G98, Nwchem Computaional Chemstry Dock5.0, Pdock Drug Screening Xplor, Amber, EGO, Gromacs Molecular Dynamics Simulation Database Cheminformatics Database (Accelrys Inc.) Chinese Natural Product Database CNPDTM Thank You