ChemProt-2.0: visual navigation in a disease chemical biology database

Research output: Contribution to journalJournal articleResearch

Standard

ChemProt-2.0 : visual navigation in a disease chemical biology database. / Kim Kjærulff, Sonny; Wich, Louis; Kringelum, Jens; Jacobsen, Ulrik P; Kouskoumvekaki, Irene; Audouze, Karine; Lund, Ole; Brunak, Søren; Oprea, Tudor I; Taboureau, Olivier.

In: Nucleic Acids Research, Vol. 41, No. Database issue, 01.2013, p. D464-9.

Research output: Contribution to journalJournal articleResearch

Harvard

Kim Kjærulff, S, Wich, L, Kringelum, J, Jacobsen, UP, Kouskoumvekaki, I, Audouze, K, Lund, O, Brunak, S, Oprea, TI & Taboureau, O 2013, 'ChemProt-2.0: visual navigation in a disease chemical biology database', Nucleic Acids Research, vol. 41, no. Database issue, pp. D464-9. https://doi.org/10.1093/nar/gks1166

APA

Kim Kjærulff, S., Wich, L., Kringelum, J., Jacobsen, U. P., Kouskoumvekaki, I., Audouze, K., Lund, O., Brunak, S., Oprea, T. I., & Taboureau, O. (2013). ChemProt-2.0: visual navigation in a disease chemical biology database. Nucleic Acids Research, 41(Database issue), D464-9. https://doi.org/10.1093/nar/gks1166

Vancouver

Kim Kjærulff S, Wich L, Kringelum J, Jacobsen UP, Kouskoumvekaki I, Audouze K et al. ChemProt-2.0: visual navigation in a disease chemical biology database. Nucleic Acids Research. 2013 Jan;41(Database issue):D464-9. https://doi.org/10.1093/nar/gks1166

Author

Kim Kjærulff, Sonny ; Wich, Louis ; Kringelum, Jens ; Jacobsen, Ulrik P ; Kouskoumvekaki, Irene ; Audouze, Karine ; Lund, Ole ; Brunak, Søren ; Oprea, Tudor I ; Taboureau, Olivier. / ChemProt-2.0 : visual navigation in a disease chemical biology database. In: Nucleic Acids Research. 2013 ; Vol. 41, No. Database issue. pp. D464-9.

Bibtex

@article{8bea3434d3ab433d8139ea288e56593d,
title = "ChemProt-2.0: visual navigation in a disease chemical biology database",
abstract = "ChemProt-2.0 (https://www.cbs.dtu.dk/services/ChemProt-2.0) is a public available compilation of multiple chemical-protein annotation resources integrated with diseases and clinical outcomes information. The database has been updated to >1.15 million compounds with 5.32 millions bioactivity measurements for 15 290 proteins. Each protein is linked to quality-scored human protein-protein interactions data based on more than half a million interactions, for studying diseases and biological outcomes (diseases, pathways and GO terms) through protein complexes. In ChemProt-2.0, therapeutic effects as well as adverse drug reactions have been integrated allowing for suggesting proteins associated to clinical outcomes. New chemical structure fingerprints were computed based on the similarity ensemble approach. Protein sequence similarity search was also integrated to evaluate the promiscuity of proteins, which can help in the prediction of off-target effects. Finally, the database was integrated into a visual interface that enables navigation of the pharmacological space for small molecules. Filtering options were included in order to facilitate and to guide dynamic search of specific queries.",
keywords = "Computer Graphics, Databases, Chemical, Disease, Drug Therapy, Drug Toxicity, Humans, Internet, Pharmaceutical Preparations, Protein Interaction Mapping, Proteins, Sequence Analysis, Protein, User-Computer Interface",
author = "{Kim Kj{\ae}rulff}, Sonny and Louis Wich and Jens Kringelum and Jacobsen, {Ulrik P} and Irene Kouskoumvekaki and Karine Audouze and Ole Lund and S{\o}ren Brunak and Oprea, {Tudor I} and Olivier Taboureau",
year = "2013",
month = jan,
doi = "10.1093/nar/gks1166",
language = "English",
volume = "41",
pages = "D464--9",
journal = "Nucleic Acids Research",
issn = "0305-1048",
publisher = "Oxford University Press",
number = "Database issue",

}

RIS

TY - JOUR

T1 - ChemProt-2.0

T2 - visual navigation in a disease chemical biology database

AU - Kim Kjærulff, Sonny

AU - Wich, Louis

AU - Kringelum, Jens

AU - Jacobsen, Ulrik P

AU - Kouskoumvekaki, Irene

AU - Audouze, Karine

AU - Lund, Ole

AU - Brunak, Søren

AU - Oprea, Tudor I

AU - Taboureau, Olivier

PY - 2013/1

Y1 - 2013/1

N2 - ChemProt-2.0 (https://www.cbs.dtu.dk/services/ChemProt-2.0) is a public available compilation of multiple chemical-protein annotation resources integrated with diseases and clinical outcomes information. The database has been updated to >1.15 million compounds with 5.32 millions bioactivity measurements for 15 290 proteins. Each protein is linked to quality-scored human protein-protein interactions data based on more than half a million interactions, for studying diseases and biological outcomes (diseases, pathways and GO terms) through protein complexes. In ChemProt-2.0, therapeutic effects as well as adverse drug reactions have been integrated allowing for suggesting proteins associated to clinical outcomes. New chemical structure fingerprints were computed based on the similarity ensemble approach. Protein sequence similarity search was also integrated to evaluate the promiscuity of proteins, which can help in the prediction of off-target effects. Finally, the database was integrated into a visual interface that enables navigation of the pharmacological space for small molecules. Filtering options were included in order to facilitate and to guide dynamic search of specific queries.

AB - ChemProt-2.0 (https://www.cbs.dtu.dk/services/ChemProt-2.0) is a public available compilation of multiple chemical-protein annotation resources integrated with diseases and clinical outcomes information. The database has been updated to >1.15 million compounds with 5.32 millions bioactivity measurements for 15 290 proteins. Each protein is linked to quality-scored human protein-protein interactions data based on more than half a million interactions, for studying diseases and biological outcomes (diseases, pathways and GO terms) through protein complexes. In ChemProt-2.0, therapeutic effects as well as adverse drug reactions have been integrated allowing for suggesting proteins associated to clinical outcomes. New chemical structure fingerprints were computed based on the similarity ensemble approach. Protein sequence similarity search was also integrated to evaluate the promiscuity of proteins, which can help in the prediction of off-target effects. Finally, the database was integrated into a visual interface that enables navigation of the pharmacological space for small molecules. Filtering options were included in order to facilitate and to guide dynamic search of specific queries.

KW - Computer Graphics

KW - Databases, Chemical

KW - Disease

KW - Drug Therapy

KW - Drug Toxicity

KW - Humans

KW - Internet

KW - Pharmaceutical Preparations

KW - Protein Interaction Mapping

KW - Proteins

KW - Sequence Analysis, Protein

KW - User-Computer Interface

U2 - 10.1093/nar/gks1166

DO - 10.1093/nar/gks1166

M3 - Journal article

C2 - 23185041

VL - 41

SP - D464-9

JO - Nucleic Acids Research

JF - Nucleic Acids Research

SN - 0305-1048

IS - Database issue

ER -

ID: 68113913