Sugars in the Cloud: Machine Learning and Data Science for Glycobiology

Speaker: Dr. Daniel Bojar, University of Gothenburg.

Moderator: Dr. Kiyoko Aoki-Kinoshita

Abstract: Glycans or complex carbohydrates are a universal yet understudied biological sequence with unique properties. The crucial role of glycans in autoimmunity, viral infections, cancer, microbiome development, and many other processes holds promise for translating a better understanding of glycan functions into biomedical advances. Dr. Bojar will present the efforts of his research group to achieve this. Developing and applying data science and machine learning methods for glycobiology has, among others, provided insight into glycan – protein interactions, glycan – immune interactions, and glycan – pathogen interactions. In a two-pronged approach, Dr. Bojar’s group both uses new methods to discover these new facets of glycobiolgoy but also makes these methods freely available to the community via their Python package glycowork, to build a firm foundation for computational glycobiology.

Highlight:

Our fifth APBioNETTalks took place on September 21, 2022 entitled “Sugars in the Cloud: Machine Learning and Data Science for Glycobiology” and was delivered by Dr. Daniel Bojar of University of Gothenburg. In this insightful session, Dr. Daniel Bojar brought out the importance of glycans and their vital function in various cellular activities. He shared on glycan binding proteins (Lectin) and discussed the state-of-the-art deep learning approaches in glycoinformatics. A centralized source software repository, Glycoinformatics Consortium (GLIC), has been created to serve as a communication hub for glycoscientists and glycoinformaticians. (https://glic.glycoinfo.org/). 

📅 : September 21, 2022
⏲️ : 10 am CET/4 pm WIB/5 pm SGT