Michael Heinzinger

According to our database, Michael Heinzinger authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

From Words to Amino Acids: Does the Curse of Depth Persist?

Aleena Siji, Amir Mohammad Karimi-Mamaghan, Ferdinand Kapl, Tobias Höppe, Emmanouil Angelis, Andrea Dittadi, Maurice Brenner, Michael Heinzinger, Karl Henrik Johansson, Kaitlin Maile, Johannes von Oswald, Stefan Bauer

CoRR, February, 2026

2023

CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.

Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan

Nucleic Acids Res., July, 2023

CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language models.

Vamsi Nallapareddy, Nicola Bordin, Ian Sillitoe, Michael Heinzinger, Maria Littmann, Vaishali P. Waman, Neeladri Sen, Burkhard Rost, Christine A. Orengo

Bioinform., January, 2023

2022

ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning.

Ahmed Elnaggar, Michael Heinzinger, Christian Dallago, Ghalia Rehawi, Yu Wang, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Martin Steinegger, Debsindhu Bhowmik, Burkhard Rost

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Nearest neighbor search on embeddings rapidly identifies distant protein relations.

Konstantin Schütze, Michael Heinzinger, Martin Steinegger, Burkhard Rost

Frontiers Bioinform., 2022

SETH predicts nuances of residue disorder from protein embeddings.

Dagmar Ilzhöfer, Michael Heinzinger, Burkhard Rost

Frontiers Bioinform., 2022

2021

PredictProtein - Predicting Protein Structure and Function for 29 Years.

Michael Bernhofer, Christian Dallago, Timothy Karl, Venkata P. Satagopam, Michael Heinzinger, Maria Littmann, Tobias Olenyi, Jiajun Qiu, Konstantin Schütze, Guy Yachdav, Haim Ashkenazy, Nir Ben-Tal, Yana Bromberg, Tatyana Goldberg, László Kaján, Seán I. O'Donoghue, Chris Sander, Andrea Schafferhans, Avner Schlessinger, Gerrit Vriend, Milot Mirdita, Piotr Gawron, Wei Gu, Yohan Jarosz, Christophe Trefois, Martin Steinegger, Reinhard Schneider, Burkhard Rost

Nucleic Acids Res., 2021

Clustering FunFams using sequence embeddings improves EC purity.

Maria Littmann, Nicola Bordin, Michael Heinzinger, Konstantin Schütze, Christian Dallago, Christine A. Orengo, Burkhard Rost

Bioinform., 2021

Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteins.

Jan Zaucha, Michael Heinzinger, A. Kulandaisamy, Evans Kataka, Óscar Llorian Salvádor, Petr Popov, Burkhard Rost, M. Michael Gromiha, Boris S. Zhorov, Dmitrij Frishman

Briefings Bioinform., 2021

2020

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing.

Ahmed Elnaggar, Michael Heinzinger, Christian Dallago, Ghalia Rehawi, Yu Wang, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Martin Steinegger, Debsindhu Bhowmik, Burkhard Rost

CoRR, 2020

2019

Modeling aspects of the language of life through transfer-learning protein sequences.

Michael Heinzinger, Ahmed Elnaggar, Yu Wang, Christian Dallago, Dmitrii Nechaev, Florian Matthes, Burkhard Rost

BMC Bioinform., 2019