The Institute of Bio-IT is a nonprofit organization engaged in research and education in the fields of Computational and Systems Biology. This institute is located in Iran and it was established by Silico Biotech Inc., Seywan Inc, in Sharif University of Technology.

The institute’s vision is to create an interdisciplinary program focused on Computational and Systems Biology; bring together biology, physics, chemistry, and engineering to foster interdisciplinary research by entraining skills beyond the individual science and engineering disciplines, exploiting and promoting cutting-edge advances in science and technology, and facilitating transitional activity between pure and applied research. We will use this natural synergy among disciplines to enable fundamental discoveries, and to develop new understandings, research opportunities, technologies, and innovative products to advance our understanding of life and to improve human life performance. The Institute places equal emphasis on computational and experimental methods and on molecular and systems views of biological phenomena.

The institute’s mission is to conduct contextual research and professional educations in the field of Bio-IT. The institute strives to provide a center for cooperation in specified research program areas by scientists, engineers, staff and students. Special effort is directed toward the understanding of complex biological systems through the tight integration of systematic experimentation and computational modeling, the creation of the next generation of scientific leaders, transition of research results into practical applications, and the building of a systems biology community across industry and academia. In addition, inter-disciplinary collaborative research programs are emphasized, and all research institutes, universities, corporations and related organizations are invited to participate in institute’s research and educational programs.

"The institute’s research is concentrated in several theme areas that include
bioinformatics (genomics, proteomics), computational biology, e-Health, and systems biology along with education, training, e-learning and outreach."