Protein Interaction Maps

"Protein Interaction Maps" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure, which enables searching at various levels of specificity.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

Graphs representing sets of measurable, non-covalent physical contacts with specific PROTEINS in living organisms or in cells.

Descriptor ID	D060066
MeSH Number(s)	G03.493.750
Concept/Terms	Protein Interaction Maps Protein Interaction Maps Interaction Map, Protein Interaction Maps, Protein Map, Protein Interaction Maps, Protein Interaction Protein Interaction Map Protein Interaction Networks Interaction Network, Protein Interaction Networks, Protein Network, Protein Interaction Networks, Protein Interaction Protein Interaction Network Protein-Protein Interaction Map Interaction Map, Protein-Protein Interaction Maps, Protein-Protein Map, Protein-Protein Interaction Maps, Protein-Protein Interaction Protein Protein Interaction Map Protein-Protein Interaction Maps

Below are MeSH descriptors whose meaning is more general than "Protein Interaction Maps".

Biological Sciences [G]
Metabolism [G03]
Metabolic Networks and Pathways [G03.493]
Protein Interaction Maps [G03.493.750]

Below are MeSH descriptors whose meaning is related to "Protein Interaction Maps".

Below are MeSH descriptors whose meaning is more specific than "Protein Interaction Maps".

publications

Timeline | Most Recent

This graph shows the total number of publications written about "Protein Interaction Maps" by people in this website by year, and whether "Protein Interaction Maps" was a major or minor topic of these publications.

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Below are the most recent publications written about "Protein Interaction Maps" by people in Profiles.

Cappellani F, Regillo CD, Haller JA, Gagliano C, Pulido JS. Exploring the Associated Genetic Causes of Diabetic Retinopathy as a Model of Inflammation in Retinal Diseases. Int J Mol Sci. 2024 May 17; 25(10).

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Heikamp EB, Henrich JA, Perner F, Wong EM, Hatton C, Wen Y, Barwe SP, Gopalakrishnapillai A, Xu H, Uckelmann HJ, Takao S, Kazansky Y, Pikman Y, McGeehan GM, Kolb EA, Kentsis A, Armstrong SA. The menin-MLL1 interaction is a molecular dependency in NUP98-rearranged AML. Blood. 2022 02 10; 139(6):894-906.

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Onoufriadis A, Niazi U, Dimitrakopoulou K, Reich J, Ainali C, Papanikolaou M, Kesidou E, Hsu CK, Saqi M, McGrath JA, Reich K. Transcriptomic Analysis of Blaschko-Linear Psoriasis Reveals Shared and Distinct Features with Psoriasis Vulgaris. J Invest Dermatol. 2022 02; 142(2):489-493.

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Blum M, Chang HY, Chuguransky S, Grego T, Kandasaamy S, Mitchell A, Nuka G, Paysan-Lafosse T, Qureshi M, Raj S, Richardson L, Salazar GA, Williams L, Bork P, Bridge A, Gough J, Haft DH, Letunic I, Marchler-Bauer A, Mi H, Natale DA, Necci M, Orengo CA, Pandurangan AP, Rivoire C, Sigrist CJA, Sillitoe I, Thanki N, Thomas PD, Tosatto SCE, Wu CH, Bateman A, Finn RD. The InterPro protein families and domains database: 20 years on. Nucleic Acids Res. 2021 01 08; 49(D1):D344-D354.

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?lvarez VJ, Bravo SB, Chantada-Vazquez MP, Col?n C, De Castro MJ, Morales M, Vitoria I, Tomatsu S, Otero-Espinar FJ, Couce ML. Characterization of New Proteomic Biomarker Candidates in Mucopolysaccharidosis Type IVA. Int J Mol Sci. 2020 Dec 28; 22(1).

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Shannon CP, Blimkie TM, Ben-Othman R, Gladish N, Amenyogbe N, Drissler S, Edgar RD, Chan Q, Krajden M, Foster LJ, Kobor MS, Mohn WW, Brinkman RR, Le Cao KA, Scheuermann RH, Tebbutt SJ, Hancock REW, Koff WC, Kollmann TR, Sadarangani M, Lee AH. Multi-Omic Data Integration Allows Baseline Immune Signatures to Predict Hepatitis B Vaccine Response in a Small Cohort. Front Immunol. 2020; 11:578801.

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Currier AW, Kolb EA, Gorlick RG, Roth ME, Gopalakrishnan V, Sampson VB. p27/Kip1 functions as a tumor suppressor and oncoprotein in osteosarcoma. Sci Rep. 2019 04 16; 9(1):6161.

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Huang L, Liao L, Wu CH. Completing sparse and disconnected protein-protein network by deep learning. BMC Bioinformatics. 2018 03 22; 19(1):103.

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Huang H, Arighi CN, Ross KE, Ren J, Li G, Chen SC, Wang Q, Cowart J, Vijay-Shanker K, Wu CH. iPTMnet: an integrated resource for protein post-translational modification network discovery. Nucleic Acids Res. 2018 01 04; 46(D1):D542-D550.

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Ross KE, Huang H, Ren J, Arighi CN, Li G, Tudor CO, Lv M, Lee JY, Chen SC, Vijay-Shanker K, Wu CH. iPTMnet: Integrative Bioinformatics for Studying PTM Networks. Methods Mol Biol. 2017; 1558:333-353.

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