Chemical Computing Group MOE v2022.02 (x64) Multilanguage

BaDshaH

Active Member

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x64 | File Size: 7.54 GB

CCG is a leading developer and provider of Molecular Modeling, Simulations and Machine Learning software to Pharmaceutical and Biotechnology companies as well as Academic institutions throughout the world. CCG continuously develops new technologies with its team of mathematicians, scientists and software engineers and through scientific collaborations with customers.

Discovery Platform
-Common Platform for Chemists
-Biologists and Crystallographers
-Small Molecules - Peptides - Biologics
-Laptop - Cluster - Cloud - Pipeline
-Integrated Programming Environment

Collaborative Support
-Expert-Level Scientific Support
-Scientific Project Collaborations
-Onsite and Remote Training
-UGMs, Workshops and Webinars
-Offices in America, Europe and Asia

Industry Leadership
-25+ Years of Innovation
-Standard Platform in Pharma & Biotech
-Wide Literature and Patent Citation
-Worldwide User Community
-Large-Scale Deployment

3D Molecular Visualization
-Easy-to-Use Graphical Interface
-Active Site Detection and Analysis
-Molecular Surfaces and Electron Density
-Visualize Non-bonded Interactions
-Publication-Quality Images and Movies
-GPU Accelerated 3D Stereo Graphics
-Mixed Virtual Reality and 3D Printing

Structure-Based Design
-Streamlined Interface for Ligand Design
-Active Site Detection and Analysis
-Interactive Ligand Design in the Pocket
-Protein-Ligand Interaction Diagrams
-Predict Water Sites and Energetics
-Induced-Fit Docking
-Link, Grow and Replace Fragments

Antibody and Biologics Design
-Structure-Based Protein Engineering
-Assess Liabilities and Developability
-Optimize Affinity, Stability and Solubility
-High-Throughput Antibody Modeling
-Generate Virtual Libraries
-Protein Docking and Epitope Mapping
-Model ADCs and Fusion Proteins

System Requirements
OS:Windows 8/10/11

Whats NEW
MOE 2022.02 Latest Features
-On-the-fly Browser-based Combinatorial Library Enumeration
-scFv and Custom Antibody Homology Models
-GPU-accelerated Protein Modeling and Protein-Protein Docking
-Hydrogen Mass Repartitioning for Accelerating MD and TI
-Database Viewer SNFG Display, Graphic Objects, and Enhanced Plotting

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