Evolutionary Multi-objective Design of SARS-CoV-2 Protease Inhibitor Candidates
- DOI
- 10.1007/978-3-030-58115-2_25
- Published
- 2020
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-58115-2_25,
title = {Evolutionary Multi-objective Design of SARS-CoV-2 Protease Inhibitor Candidates},
author = {Tim Cofala and Lars Elend and Philip Mirbach and Jonas Prellberg and Thomas Teusch and Oliver Kramer},
year = {2020},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-030-58115-2_25},
url = {https://doi.org/10.1007/978-3-030-58115-2_25}
}RIS
TY - JOUR TI - Evolutionary Multi-objective Design of SARS-CoV-2 Protease Inhibitor Candidates AU - Tim Cofala AU - Lars Elend AU - Philip Mirbach AU - Jonas Prellberg AU - Thomas Teusch AU - Oliver Kramer PY - 2020 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-030-58115-2_25 UR - https://doi.org/10.1007/978-3-030-58115-2_25 ER -
APA
Cofala, T., Elend, L., Mirbach, P., Prellberg, J., Teusch, T., & Kramer, O. (2020). Evolutionary Multi-objective Design of SARS-CoV-2 Protease Inhibitor Candidates. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-58115-2_25
Source records
- crossref · retrieved 2026-09-25T23:20:28.741Z