Monday, September 16, 2024

Centre of Bioinformatics Research and Technology (CBIRT), is an international scientific organization, formed with a vision of creating a niche in global computational biology and bioinformatics research sector. It is currently engaged in bioinformatics research and innovation. In addition to this, the organization is further involved in various scientific as well as literary events like workshops, training, conferences, meetings, publications and collaborations.

About Us

CBIRT acts as a catalyst to advance bioscientific/biotechnology/bioinformatics research, education and industry for the benefit of society and the environment.

Goals of Centre of Bioinformatics Research & Technology:

  • To increase public awareness and understanding of bioinformatics and its impacts.
  • To inform the public about the resources, programs, and activities of bioinformatics community.
  • To coordinate and participate in training activities (workshops, conferences and seminars) for students and scientists in biosciences.
  • To become a resource center for bioscience information and training.
  • To provide an environment that can develop capabilities building Bio-scientists.
  • To create trained manpower with a sound experience in bioinformatics.
  • To facilitate the process by which new research results are transferred to companies to stimulate economic development.
  • To gain a broader perspective of bioinformatics related issues by stimulating interaction among the bioinformatics disciplines.
  • To promote commercialization of bioinformatics by bringing together entrepreneurs and researchers.
  • To increase bioinformatics awareness through training, education, publication as well as providing latest bioinformatics news to the widest possible audience.
  • To bring together researchers across the world, and facilitate sharing of research knowledge through conferences, journals and seminars.

Our Services

Must Read

How Are Transformer Models Bridging the Gap Between Data and Drug Discovery?

How Are Transformer Models Bridging the Gap Between Data and Drug Discovery?

0
A recently published work by researchers from the Wuhan Textile University, China, and Michigan State University, USA, has addressed the use of transformer models...
Unlocking Molecular Dynamics: Dynaformer, a Graph-Based Deep Learning Model for Binding Affinity Prediction

Unlocking Molecular Dynamics: Dynaformer, a Graph-Based Deep Learning Model for Binding Affinity Prediction

0
One major obstacle in structure-based drug design is accurately predicting the affinities of protein-ligand interaction. The accuracy of data-driven affinity prediction methods has improved...
Can We Measure Protein Interactions at Unprecedented Scale? MP3-seq Says Yes!

Can We Measure Protein Interactions at Unprecedented Scale? MP3-seq Says Yes!

0
Numerous biological processes are regulated by protein-protein interactions (PPIs), and modified PPIs have uses in gene and cell therapy. Here, researchers from the University...
ChatMol: Pioneering Conversational Molecular Design with AI

ChatMol: Pioneering Conversational Molecular Design with AI

0
ChatMol, an innovative AI model designed by Tsinghua University, PingAn Technology, and Beijing University of Posts and Telecommunications researchers, shapes the contours of the...
AlphaProteo: Google DeepMind's AI Revolution in Protein Design

AlphaProteo: Google DeepMind’s AI Revolution in Protein Design

0
Protein-binding protein computational design is a key skill with many applications in biotechnology and biological research. While some target proteins have been successfully targeted...

Success Stories