Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

Nature Methods, 2020 - nature.com
Predicting interactions between proteins and other biomolecules solely based on structure
remains a challenge in biology. A high-level representation of protein structure, the …
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[引用][C] Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

P Gainza, F Sverrisson, F Monti, E Rodolà… - Nature …, 2019 - mediatum.ub.tum.de
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Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning.

P Gainza, F Sverrisson, F Monti, E Rodolà… - Nature …, 2020 - folia.unifr.ch
English Predicting interactions between proteins and other biomolecules solely based on
structure remains a challenge in biology. A high-level representation of protein structure, the …

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

P Gainza, F Sverrisson, F Monti, E Rodola… - Nature …, 2020 - go.gale.com
Predicting interactions between proteins and other biomolecules solely based on structure
remains a challenge in biology. A high-level representation of protein structure, the …

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

P Gainza, F Sverrisson, F Monti, E Rodol, D Boscaini… - paper.sciencenet.cn
Predicting interactions between proteins and other biomolecules solely based on structure
remains a challenge in biology. A high-level representation of protein structure, the …

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

P Gainza, F Sverrisson, F Monti, E Rodolà… - Nature …, 2020 - pubmed.ncbi.nlm.nih.gov
Predicting interactions between proteins and other biomolecules solely based on structure
remains a challenge in biology. A high-level representation of protein structure, the …

[引用][C] Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

P Gainza, F Sverrisson, F Monti, E Rodolà, D Boscaini… - Nature Methods, 2019 - cir.nii.ac.jp
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep
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Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning.

P Gainza, F Sverrisson, F Monti, E Rodolà, D Boscaini… - Nature methods, 2020 - sonar.ch
English Predicting interactions between proteins and other biomolecules solely based on
structure remains a challenge in biology. A high-level representation of protein structure, the …

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning.

P Gainza, F Sverrisson, F Monti, E Rodolà… - Nature …, 2019 - europepmc.org
Predicting interactions between proteins and other biomolecules solely based on structure
remains a challenge in biology. A high-level representation of protein structure, the …

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

P Gainza, F Sverrisson, F Monti, E Rodolà… - Nature …, 2019 - infoscience.epfl.ch
Predicting interactions between proteins and other biomolecules solely based on structure
remains a challenge in biology. A high-level representation of protein structure, the …