Michael Heinzinger
Helmholtz Zentrum München(DE)
Publications by Year
Research Areas
Machine Learning in Bioinformatics, Genomics and Phylogenetic Studies, RNA and protein synthesis mechanisms, Protein Structure and Dynamics, Bioinformatics and Genomic Networks
Most-Cited Works
- → ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning(2021)2,089 cited
- → Modeling aspects of the language of life through transfer-learning protein sequences(2019)616 cited
- → PredictProtein - Predicting Protein Structure and Function for 29 Years(2021)262 cited
- → ProtTrans: Towards Cracking the Language of Life's Code Through\n Self-Supervised Deep Learning and High Performance Computing(2020)210 cited
- → Embeddings from deep learning transfer GO annotations beyond homology(2021)201 cited
- → Bilingual language model for protein sequence and structure(2024)173 cited
- → Embeddings from protein language models predict conservation and variant effects(2021)167 cited
- → Fine-tuning protein language models boosts predictions across diverse tasks(2024)159 cited
- → ProNA2020 predicts protein–DNA, protein–RNA, and protein–protein binding proteins and residues from sequence(2020)140 cited
- → Light attention predicts protein location from the language of life(2021)138 cited