<scp>LambdaPP</scp> : Fast and accessible protein‐specific phenotype predictions-Reference-Cited by-同舟云学术

LambdaPP : Fast and accessible protein‐specific phenotype predictions

Published:2022-12-19 Issue:1 Volume:32 Page:
ISSN:0961-8368
Container-title:Protein Science
language:en
Short-container-title:Protein Science

Author:

Olenyi Tobias¹²^ORCID,Marquet Céline¹²^ORCID,Heinzinger Michael¹²^ORCID,Kröger Benjamin¹,Nikolova Tiha¹,Bernhofer Michael²^ORCID,Sändig Philip¹,Schütze Konstantin¹^ORCID,Littmann Maria¹^ORCID,Mirdita Milot³^ORCID,Steinegger Martin³⁴⁵,Dallago Christian¹⁶^ORCID,Rost Burkhard¹⁷^ORCID

Affiliation:

1. TUM (Technical University of Munich) Department of Informatics Bioinformatics‐ & Computational Biology—i12 Garching Germany

2. TUM Graduate School Center of Doctoral Studies in Informatics and its Applications (CeDoSIA) Garching Germany

3. School of Biological Sciences Seoul National University Seoul South Korea

4. Korea Artificial Intelligence Institute Seoul National University Seoul South Korea

5. Korea Institute of Molecular Biology and Genetics Seoul National University Seoul South Korea

6. VantAI New York USA

7. Institute for Advanced Study (TUM‐IAS) Lichtenbergstr. 2a, 85748 Garching/Munich, Germany & TUM School of Life Sciences Weihenstephan (WZW) Freising Germany

Funder

Federal Ministry of Education and Research

Deutsche Forschungsgemeinschaft

National Research Foundation of Korea

Seoul National University

Technische Universität München

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pro.4524