Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique
… identification of PPI sites is the premise of PPI prediction, contributes to the extensive clinical
and industrial applications and promote the identification … a feature of protein by the multiple …
and industrial applications and promote the identification … a feature of protein by the multiple …
Multifaceted protein–protein interaction prediction based on Siamese residual RCNN
… (ii) Interaction type prediction is a multi-class classification problem, which seeks to identify
the interaction type of two proteins… We use these two datasets for the PPI type prediction task. …
the interaction type of two proteins… We use these two datasets for the PPI type prediction task. …
Protein–protein interaction site prediction through combining local and global features with deep neural networks
… Protein–protein interactions (PPIs) are the physical contacts between two or more proteins
… We remove two protein sequences as they do not have the definition of secondary structure …
… We remove two protein sequences as they do not have the definition of secondary structure …
[HTML][HTML] Improved prediction of protein-protein interactions using AlphaFold2
… of protein–protein interactions can be divided into two categories, the identification of what
proteins interact and the identification … multiple models of the same protein–protein interaction …
proteins interact and the identification … multiple models of the same protein–protein interaction …
ContactNet: Geometric-based deep learning model for predicting protein-protein interactions
… designed to model biological protein-protein recognition interfaces consisting of short … the
interaction between every pair of amino acids in the two segments, we generate an interaction …
interaction between every pair of amino acids in the two segments, we generate an interaction …
mCSM-PPI2: predicting the effects of mutations on protein–protein interactions
… Interaction energy information between the two interacting chains were extracted from … of
the binding free energy of the interaction and have been recognized as important sites for drug …
the binding free energy of the interaction and have been recognized as important sites for drug …
Real-time measurement of protein–protein interactions at single-molecule resolution using a biological nanopore
AK Thakur, L Movileanu - Nature biotechnology, 2019 - nature.com
… accurate identification of the anchoring site for tethered protein … An ability to detect multiple
analytes in a mixture of proteins is … can discriminate competitive interactions between two Bs …
analytes in a mixture of proteins is … can discriminate competitive interactions between two Bs …
[HTML][HTML] Towards a structurally resolved human protein interaction network
… One key benefit of structurally characterizing an interaction network is the identification of …
dissociation inhibitor alpha) which interacts with multiple Rab proteins, regulating their activity …
dissociation inhibitor alpha) which interacts with multiple Rab proteins, regulating their activity …
IID 2018 update: context-specific physical protein–protein interactions in human, model organisms and domesticated species
M Kotlyar, C Pastrello, Z Malik… - Nucleic acids research, 2019 - academic.oup.com
… IID integrates interactions from multiple databases and datasets. It comprises over 4.8 …
insights into numerous problems in molecular biology including identification of gene function (1,2)…
insights into numerous problems in molecular biology including identification of gene function (1,2)…
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
… interaction fingerprinting), a general geometric deep learning 9 method to recognize and
decipher patterns on protein … For each vertex within the patch, we compute two geometric …
decipher patterns on protein … For each vertex within the patch, we compute two geometric …
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