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. We are ISO 9001:2015 certified and offer a wide range bioinformatics/computational biology certification courses.

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

Success Stories

Must Read

Joint training of ConGLUDe on structure- and ligandbased data

ConGLUDe: Toward General-Purpose Foundation Models for Drug Discovery

0
Researchers from Johannes Kepler University Linz, Austria, and Merck HealthCare, Germany, developed ConGLUDe (Contrastive Geometric Learning for Unified Computational Drug Design), an AI-based model for drug...
Claude Opus 4.5

Claude Opus 4.5 and the Future of AI-Driven Research in Healthcare and Biotechnology

0
The growing complexity of biomedical research and healthcare demands AI systems that can go beyond general assistance to support end-to-end scientific workflows. Building on...
DrugCLIP

DrugCLIP Enables High-Throughput Virtual Screening Across the Human Proteome

0
Researchers at Tsinghua University have introduced DrugCLIP, a contrastive learning framework that enables ultrafast and accurate virtual screening at a genome-wide scale. Published in...
FoldMason

Beyond the Sequence: How FoldMason is Redefining Multiple Protein Structure Alignment at Scale

0
The authors at Seoul National University developed FoldMason, a free, open-source, progressive Multiple Structural Alignment (MSTA) method published in Science that uses a structural...
BindEvaluator and moPPIt

De Novo Peptide Binder Generation: How moPPIt Targets ‘Undruggable’ Proteins

0
Authors from the University of Pennsylvania and others innovated the motif-specific PPI targeting algorithm (moPPIt), a computational framework that integrates BindEvaluator along with Multi-Objective...