Scientific Computing

Tencube Softwares

Winmostar and Tencube/WM are intuitive and light molecular modelling softwares.
You can also run XA-CHEM-SUITE from Winmostar and Tencube/WM.

Winmostar: Academic Free Version Downloading

Tencube/WM: Industry/Government Purchasing
## Industry/Goverment customer can purchase Tencube/WM from XA America,Inc.

XA-CHEM-SUITE

This is a software suite in the field of quantum chemistry and molecular simulation. Software Catalog
If you want to get a catalog or purchase our softwares, please contact us.

XA-SSE/AVX-QM (Version 1.0.11):

SSE/AVX acceleration module for Quantum Chemistry (Linux x86_64)

XA-CUDA-QM (Version 1.0.11):

GPGPU acceleration module for Quantum Chemistry (NVIDIA GPU, Linux x86_64)
Performance and Accuracy of GAMESS: Material

Feature : same input files and same command of the quantum chemistry softwares(GAMESS etc.)

Reference1 : Yasuda, K. J. Chem. Theory Comput. 2008, 4, 1230-1236
Reference2 : Yuki Furukawa, Ryota Koga, and Koji Yasuda., Proceeding of JSST 2011, International Conference on Modeling and Simulation Technology

Prerequisite : source code license of the quantum chemistry softwares(GAMESS etc.)

Once you pay, we'll continue to send you the latest binary during licensing. For continuous use, you have to subscribe this license every year. License Agreement

XA-PIO:

Interaction energy visualization software by Quantum Chemistry (Linux x86_64)
Reference : Fujimoto, H.; Koga, N.; Fukui, K. J. Am. Chem. Soc. 1981, 103, 7452.



Chem/Bioinformatics

We provide customers with tailor-made softwares that aim to solve Chem or Bioinformatics problems. We also provide statistical analysis of genome-wide data generated from NGS or microarray data.
  • Development of ranking algorithms to screen for chemical compounds predicted to have drug potency or reactive properties.
  • Development of fast search algorithm to calculate similarity between chemical structures by using GPGPU
  • Development of database effective for viewing and searching for chemical compounds and genome data
  • Analysis of various types of NGS data
  • Knowledge discovery from microarray data