Proteinprotein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique

X Wang, B Yu, A Ma, C Chen, B Liu, Q Ma - Bioinformatics, 2019 - academic.oup.com
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

Multifaceted proteinprotein interaction prediction based on Siamese residual RCNN

M Chen, CJT Ju, G Zhou, X Chen, T Zhang… - …, 2019 - academic.oup.com
… (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. …

Proteinprotein interaction site prediction through combining local and global features with deep neural networks

M Zeng, F Zhang, FX Wu, Y Li, J Wang, M Li - Bioinformatics, 2020 - academic.oup.com
Proteinprotein 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 …

[HTML][HTML] Improved prediction of protein-protein interactions using AlphaFold2

P Bryant, G Pozzati, A Elofsson - Nature communications, 2022 - nature.com
… of proteinprotein interactions can be divided into two categories, the identification of what
proteins interact and the identificationmultiple models of the same proteinprotein interaction

ContactNet: Geometric-based deep learning model for predicting protein-protein interactions

M Halfon, T Cohen, R Fattal… - arXiv preprint arXiv …, 2024 - arxiv.org
… 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

mCSM-PPI2: predicting the effects of mutations on proteinprotein interactions

CHM Rodrigues, Y Myung, DEV Pires… - Nucleic acids …, 2019 - academic.oup.com
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 …

Real-time measurement of proteinprotein 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 …

[HTML][HTML] Towards a structurally resolved human protein interaction network

DF Burke, P Bryant, I Barrio-Hernandez… - Nature Structural & …, 2023 - nature.com
… 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 …

IID 2018 update: context-specific physical proteinprotein 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)…

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

P Gainza, F Sverrisson, F Monti, E Rodola, D Boscaini… - Nature …, 2020 - nature.com
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 …