Maria Littmann

According to our database, Maria Littmann authored at least 8 papers between 2019 and 2023.

Collaborative distances:

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

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

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

2020

Validity of machine learning in biology and medicine increased through collaborations across fields of expertise.

Maria Littmann, Katharina Selig, Liel Cohen-Lavi, Yotam Frank, Peter Hönigschmid, Evans Kataka, Anja Mösch, Kun Qian, Avihai Ron, Sebastian Schmid, Adam Sorbie, Liran Szlak, Ayana Dagan-Wiener, Nir Ben-Tal, Masha Y. Niv, Daniel Razansky, Björn W. Schuller, Donna P. Ankerst, Tomer Hertz, Burkhard Rost

Nat. Mach. Intell., 2020

2019

FunFam protein families improve residue level molecular function prediction.

Linus Scheibenreif, Maria Littmann, Christine A. Orengo, Burkhard Rost

BMC Bioinform., 2019

Correction to: Detailed prediction of protein sub-nuclear localization.

Maria Littmann, Tatyana Goldberg, Sebastian Seitz, Mikael Bodén, Burkhard Rost

BMC Bioinform., 2019

Detailed prediction of protein sub-nuclear localization.

Maria Littmann, Tatyana Goldberg, Sebastian Seitz, Mikael Bodén, Burkhard Rost

BMC Bioinform., 2019