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Content provider
- European Bioinformatics Institute (EBI)3
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Keyword
- InterPro
- Proteins (proteins)6
- AlphaFold Database5
- Protein Data Bank in Europe5
- QSAR4
- in silico drug design4
- molecular modelling4
- AlphaFold3
- Drug design3
- Drug discovery3
- Drug screening3
- Molecular docking3
- PDBe3
- Quantum mechanics/molecular mechanics3
- Structures (structures)3
- AI based tools2
- AI structure prediction2
- AlphaFold Database (13181)2
- Chemical biology2
- Chemical biology (chemical-biology)2
- Cheminformatics2
- De novo2
- De novo modeling2
- Deep Learning2
- Electron Microscopy Data Bank2
- PDBe-KB2
- Pharmacophores2
- pharmacophore2
- Aggregated view1
- ChEMBL1
- ChEMBL: Bioactive data for drug discovery1
- Colab notebooks1
- Electron Microscopy Public Image Archive - EMPIAR1
- Electron density maps1
- InterProScan1
- Molecular structures1
- Molecular visualisation1
- NTDs1
- PDBeFold1
- Pfam1
- Protein Data Bank in Europe - Knowledge Base1
- Protein Data Bank in Europe – Knowledge Base1
- Protein structure prediction1
- Structural similarity1
- UniProt BLAST1
- UniProt: The Universal Protein Resource1
- chemical biology1
- cheminformatics1
- deep learning1
- drug discovery1
- molecular docking1
- neglected topical diseases1
- protein1
- small molecules1
- structure1
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Scientific topic
- Structures
- Protein bioinformatics5
- Protein databases5
- Protein informatics5
- Proteins5
- Protein domain4
- Protein structure4
- Protein structures4
- Structure analysis4
- Amino acid sequence3
- Amino acid sequences3
- Biomolecular structure3
- Computational structural biology3
- Gene and protein families3
- Gene families3
- Gene family3
- Gene system3
- Genes, gene family or system3
- Molecular structure3
- Protein families3
- Protein sequence3
- Protein sequence alignment analysis3
- Protein sequence analysis3
- Protein sequence classification3
- Protein sequences3
- Sequence alignment analysis (protein)3
- Sequence analysis (protein)3
- Structural bioinformatics3
- Structure data resources3
- Structure databases3
- Active learning2
- Consensus-based sequence alignment2
- Constrained sequence alignment2
- DNA structure prediction2
- Ensembl learning2
- Kernel methods2
- Knowledge representation2
- Machine learning2
- Multiple sequence alignment (constrained)2
- Neural networks2
- Nucleic acid design2
- Nucleic acid folding2
- Nucleic acid structure prediction2
- Programming language2
- Protein fold recognition2
- Protein function analysis2
- Protein function prediction2
- Protein structure prediction2
- RNA structure prediction2
- Recommender system2
- Reinforcement learning2
- Script format2
- Sequence alignment2
- Sequence alignment (constrained)2
- Sequence alignment construction2
- Sequence alignment generation2
- Structure prediction2
- Supervised learning2
- Unsupervised learning2
- Workflow format2
- Biological models1
- Biological networks1
- Biological pathway analysis1
- Biological pathway modelling1
- Biological pathway prediction1
- Biological pathways1
- Bottom-up proteomics1
- Cellular process pathways1
- Database hits1
- Database search results1
- Discovery proteomics1
- Disease pathways1
- Docking simulation1
- Electron density map1
- Environmental information processing pathways1
- Function analysis1
- Functional analysis1
- Functional pathway analysis1
- Gene regulatory networks1
- Genetic information processing pathways1
- HMM1
- Hidden Markov model1
- InterPro entry1
- Interactions1
- Interactome1
- MS-based targeted proteomics1
- MS-based untargeted proteomics1
- Macromolecular docking1
- Metabolic pathways1
- Metagenomic sequencing1
- Metagenomics1
- Metaproteomics1
- Molecular docking1
- Molecular interactions1
- Molecular interactions, pathways and networks1
- Motif detection1
- Motif recognition1
- Motif scanning1
- Motif search1
- Multiple alignment1
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Event type
- Workshops and courses3
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Country
- United Kingdom1
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Target audience
- This course is aimed at scientists generating structural data or scientists utilising structural data in their analysis and/or interpretation. No previous experience in the field of structural bioinformatics is required, however a basic knowledge of protein structure would be of benefit.1
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Instructor
- David Armstrong2
- Gerard Kleywegt2
- Isabel Romero Calvo2
- Michael Sternberg2
- Mihaly Varadi2
- Typhaine Paysan-Lafosse2
- Alexandre Bonvin1
- Anna Gaulton1
- Fabio Madeira1
- Fabio Marques Madeira1
- Ian Sillitoe1
- Jack Turner1
- James Tolchard1
- Janet Thornton1
- Mandar Deshpande1
- Nancy Ontiveros1
- Osman Salih1
- Pedro Raposo1
- Piv Gopalasingam1
- Preeti Choudhary1
- Robbie Joosten1
- Rodrigo Vargas Honorato1
- Sara Chuguransky1
- Sara Rocio Chuguransky1
- Sreenath Nair1
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