Deep-learning-based prediction framework for protein-peptide interactions with structure generation pipeline

Autor: Ge, Jingxuan ^{1, 2, 4}, Jiang, Dejun ^{1, 2, 4}, Sun, Huiyong ^{3, 4}, Kang, Yu ¹, Pan, Peichen ¹, Deng, Yafeng ², Hsieh, Chang-Yu ^{1, ∗}, Hou, Tingjun ^{1, 5, ∗∗}

Publikováno v: In Cell Reports Physical Science 19 June 2024 5(6)

Categorization of hotspots into three types - weak, moderate and strong to distinguish protein-protein versus protein-peptide interactions.

Autor: Kumar A K; Department of Bioinformatics, School of Earth, Biological and Environmental Sciences, Central University of South Bihar, Gaya, India., Rathore RS; Department of Bioinformatics, School of Earth, Biological and Environmental Sciences, Central University of South Bihar, Gaya, India.

Publikováno v: Journal of biomolecular structure & dynamics [J Biomol Struct Dyn] 2024 Nov; Vol. 42 (18), pp. 9348-9360. Date of Electronic Publication: 2023 Aug 30.

Combination of Experimental and Bioinformatic Approaches for Identification of Immunologically Relevant Protein–Peptide Interactions.

Autor: Debeljak, Jerneja^1,2 (AUTHOR), Korošec, Peter^1,3 (AUTHOR) peter.korosec@klinika-golnik.si, Šelb, Julij^1,2 (AUTHOR), Rijavec, Matija^1,4 (AUTHOR), Košnik, Mitja^2,5 (AUTHOR), Lunder, Mojca³ (AUTHOR)

Publikováno v: Biomolecules (2218-273X). Feb2023, Vol. 13 Issue 2, p310. 14p.

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Modeling of protein-peptide interactions using the CABS-dock web server for binding site search and flexible docking

Autor: Blaszczyk, Maciej, Kurcinski, Mateusz, Kouza, Maksim, Wieteska, Lukasz, Debinski, Aleksander, Kolinski, Andrzej, Kmiecik, Sebastian

Publikováno v: Methods, 93:72-83, 2016

Protein-peptide interactions play essential functional roles in living organisms and their structural characterization is a hot subject of current experimental and theoretical research. Computational modeling of the structure of protein-peptide inter

Externí odkaz: http://arxiv.org/abs/1505.01138