Biologiczny kod zawęźlenia - identyfikacja wzoru zawęźlenia w biomolekułach na postawie metod AI

2021/43/I/NZ1/03341 pt.: Biologiczny kod zawęźlenia - identyfikacja wzoru zawęźlenia w biomolekułach na postawie metod AI - Yearly ReportThe dataset contains publications and related Data funded with the NCN grant 2021/43/I/NZ1/03341 for Joanna I. Sulkowska.The main topic of those publications is related to biological, statistical, and physical analysis with the use of Artificial Intelligence methods for the better understanding of the proteins forming knots along their backbone.The list contains 4 publications with additional files sorted as follows:1: AlphaFold predicts novel human proteins with knots.ArticleFigures (2 Files)Tables (3 Files)Supplementary Data2: Proteins containing 6-crossing knot types and their folding pathways.ArticleFigures (2 Files)Tables (2 Files)Supplementary Data3: Conservation of knotted and slipknotted topology in transmembrane transporters.ArticleFigures (8 Files)Tables (1 File)Supplementary Data4: Knot or not? Identifying unknotted proteins in knotted families with sequence-based Machine Learning model.ArticleFigures (7 Files)Tables (5 Files)Supplementary DataDeposited data uses PDF formats for documents; PNG and JPEG formats for images and tables.