Chemical and Materials Sciences
Solutions
The BioSciences Group has over two decades of leadership in creating innovative and reliable solutions for experimental life scientists.
Drawing upon the vast resources of Fujitsu's internal development laboratories and strategic technology partnerships, the BioSciences Group offers software solutions designed to enable researchers to make high-quality in silico predictions about leads, targets, and interactions - and to validate these hypotheses experimentally.
Using both proven methodologies and novel approaches, these solutions support the visualization of molecular phenomena, hypothesis development, and experimental validation in chemical research, pharmaceutical design, biotechnology and drug development.
Products
 |
Scigress Explorer™ Unique desktop molecular modeling software package that can apply a wide range of computational models to all types of molecular systems. |
 |
Materials Explorer® Materials Explorer® is a versatile software tool that provides researchers with advanced modeling capabilities to investigate the structure and properties of materials at the atomic and molecular level. |
Latest Newsmore 
- 26 March 2007
- The BioSciences Group of Fujitsu Computer Systems Announces U.S. Availability of Materials Explorer 4.0 Molecular Dynamics Simulator
- 26 March 2007
- The BioSciences Group of Fujitsu Computer Systems Announces Name Change of CAChe Software Brand to Scigress Explorer, Launches Scigress Explorer 7.6 Version
- 29 June 2006
- The Biosciences Group of Fujitsu Computer Systems Corporation Introduces Version 2.0 of CELLINJECTOR Automated Microinjection System
Case Studiesmore
- Fujitsu performs high throughput docking of the NCI screening set of compounds
Docking studies have taken an increasingly important place in the workflow of structure based drug design (SBDD). Accurate docking of ligands into identified pockets adds a significant 3D descriptor to structure activity relationship (SAR)-based high throughput screening methods.
- Fujitsu enhances ADMET predictions using high throughput docking scores as descriptors
- Fujitsu calculates binding energy for FKBP receptor and ligands using generalized BAR method
Scientists at Fujitsu Labs., working with collaborators at Stanford University, found that the parallel configuration of the BioServer™ enabled highly accurate binding energy calculations by generalized BAR (Bennett Acceptance Ratio) method to be completed in days, which would take a standard cluster configuration months to years to complete.
