Tag: protein interactions

  • Xavier Deupi's group

    What we do We aim to understand how proteins translate recognition of endogenous biomolecules (or pharmaceutical drugs) into tightly regulated patterns of cellular signaling. We use techniques such as atomistic structural modeling and simulations...

  • Pedro Beltrao's group

    What we do Discovering how genetic variation leads to changes in traits underlies the study of human disease and the understanding of the evolutionary process. What makes each human individual different and the diversity of life on earth are, to...

  • Swiss-Prot

    Focus on the group's mission The Swiss-Prot team excels in the art of generating machine-readable knowledge of biology from the ever growing body of scientific publications. It is harnessing the power of deep learning to accelerate literature...

  • Marija Buljan's group

    What we do The group Multi-omics for healthcare materials focuses on deconvolution of disease-associated cellular signaling networks in order to inform precise imunoengineering solutions. Activities of the group are centered on generating and...

  • Anne-Florence Bitbol's group

    What we do We are broadly interested in understanding biological phenomena through physical concepts and mathematical and computational tools. We investigate the impacts of optimization and historical contingency in biological evolution....

  • ENYO Pharma SA and SIB make human protein interaction data publicly available

    The SIB CALIPHO Group and ENYO Pharma SA worked hand-in-hand in a transnational public-private partnership (PPP) to make human protein interaction data publicly available and FAIR, through the SIB Resource neXtProt.

  • Meet the past SIB Awards Laureates – Lukas Burger

    In 2019, the SIB Bioinformatics Awards will be presented for the 10th time, providing a great occasion to reach out to past laureates and ask them where they are now in their career. In this interview, we met with Lukas Burger, recipient of the...

  • Happy birthday, SWISS-MODEL! 25 years of 3D protein homology modelling

    Take a closer look at an SIB Resource dedicated to making protein modelling accessible to life scientists from around the world: on the occasion of its 25th anniversary, we put a few questions to the SWISS-MODEL development team...

  • Vincent Zoete's group

    What we do The laboratory specializes in the development of computer-aided algorithms, programs and databases for protein engineering, drug design and structure-based immunoinformatics with applications in oncology, notably in immunotherapy of...

  • Christian von Mering's group

    What we do In the Bioinformatics / Systems Biology Group, we study the dynamics of entire biological systems, both at evolutionary time-scales and at shorter time-scales – down to a few minutes. We often work in close collaboration with laboratory...

  • Torsten Schwede's group

    What we do In the Computational Structural Biology (CSB) Group, we focus on the development of methods and algorithms to model, simulate and analyse three-dimensional protein structures and their molecular properties in order to apply these...

  • Frédérique Lisacek's group

    What we do In the Proteome Informatics Group (PIG), we are involved in software and database development for the benefit of the proteomics and glycomics communities. These resources are made available through the Expasy server. Software tools...

  • Sven Bergmann's group

    What we do We develop concepts and algorithmic tools for the analysis of large-scale biological and clinical data. We participate in many genome-wide association studies (GWAS) for human traits and have a particular interest in the integration of...

  • STRING-database overall best-performing network resource according to a Californian study

    With over 20,000 protein-coding genes in humans, discovering those that are linked to a given disease amounts to finding a molecular needle in a haystack.

  • Two SIB knowledge bases deemed essential for the life sciences

    At the end of a stringent selection process led by ELIXIR at European level, two core data resources of SIB Swiss Institute of Bioinformatics have been singled out as of crucial importance for life sciences

  • SIB Resources

    Identifying and supporting SIB Resources Every four years, the Institute’s External Scientific Advisory Board (SAB) provides recommendations on the portfolio of SIB-supported Resources. By taking into account competitive criteria – such as the...