Academic lineage
Development and Evaluation of MR-Based Radiogenomic Models to Differentiate Atypical Lipomatous Tumors from Lipomas
- Sarah C Foreman, Oscar Llorián-Salvador, Diana E David, …, Klaus Woertler, Jan C Peeken, Alexandra S Gersing
- None, 10.3390/cancers15072150
Structural Analysis of Genomic and Proteomic Signatures Reveal Dynamic Expression of Intrinsically Disordered Regions in Breast Cancer and Tissue
- Nicole Zatorski, Yifei Sun, Abdulkadir Elmas, …, Kuan-Lin Huang, Martin Walsh, Avner Schlessinger
- None, 10.1101/2023.02.23.529755
AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms
- Nicola Bordin, Ian Sillitoe, Vamsi Nallapareddy, …, Martin Steinegger, Burkhard Rost, Christine Orengo
- Commun Biol, 10.1038/s42003-023-04488-9
Novel machine learning approaches revolutionize protein knowledge
- Nicola Bordin, Christian Dallago, Michael Heinzinger, …, Martin Steinegger, Burkhard Rost, Christine Orengo
- Trends Biochem Sci, 10.1016/j.tibs.2022.11.001
Nearest neighbor search on embeddings rapidly identifies distant protein relations
- Konstantin Schütze, Michael Heinzinger, Martin Steinegger, Burkhard Rost
- None, 10.3389/fbinf.2022.1033775
Engineering indel and substitution variants of diverse and ancient enzymes using Graphical Representation of Ancestral Sequence Predictions (GRASP)
- Gabriel Foley, Ariane Mora, Connie M Ross, …, Volker Sieber, Elizabeth M J Gillam, Mikael Bodén
- PLoS Comput Biol, 10.1371/journal.pcbi.1010633
TMbed: transmembrane proteins predicted through language model embeddings
- Michael Bernhofer, Burkhard Rost
- BMC Bioinformatics, 10.1186/s12859-022-04873-x
Contrastive learning on protein embeddings enlightens midnight zone
- Michael Heinzinger, Maria Littmann, Ian Sillitoe, Nicola Bordin, Christine Orengo, Burkhard Rost
- None, 10.1093/nargab/lqac043
Protein language-model embeddings for fast, accurate, and alignment-free protein structure prediction
- Konstantin Weissenow, Michael Heinzinger, Burkhard Rost
- Structure, 10.1016/j.str.2022.05.001
Embeddings from protein language models predict conservation and variant effects
- Céline Marquet, Michael Heinzinger, Tobias Olenyi, …, Michael Bernhofer, Dmitrii Nechaev, Burkhard Rost
- Hum Genet, 10.1007/s00439-021-02411-y
ProteomicsDB: toward a FAIR open-source resource for life-science research
- Ludwig Lautenbacher, Patroklos Samaras, Julian Muller, …, Helmut Krcmar, Bernhard Kuster, Mathias Wilhelm
- Nucleic Acids Res, 10.1093/nar/gkab1026
