Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 98


Kinome Render: a stand-alone and web-accessible tool to annotate the human protein kinome tree.

Chartier M, Chénard T, Barker J, Najmanovich R.

PeerJ. 2013 Aug 8;1:e126. doi: 10.7717/peerj.126. Print 2013.


KinMap: a web-based tool for interactive navigation through human kinome data.

Eid S, Turk S, Volkamer A, Rippmann F, Fulle S.

BMC Bioinformatics. 2017 Jan 5;18(1):16. doi: 10.1186/s12859-016-1433-7.


PIIKA 2: an expanded, web-based platform for analysis of kinome microarray data.

Trost B, Kindrachuk J, Määttänen P, Napper S, Kusalik A.

PLoS One. 2013 Nov 29;8(11):e80837. doi: 10.1371/journal.pone.0080837. eCollection 2013.


Mapping of inhibitors and activity data to the human kinome and exploring promiscuity from a ligand and target perspective.

Hu Y, Kunimoto R, Bajorath J.

Chem Biol Drug Des. 2017 Jun;89(6):834-845. doi: 10.1111/cbdd.12919. Epub 2017 Jan 30.


Large-scale proteomics analysis of the human kinome.

Oppermann FS, Gnad F, Olsen JV, Hornberger R, Greff Z, Kéri G, Mann M, Daub H.

Mol Cell Proteomics. 2009 Jul;8(7):1751-64. doi: 10.1074/mcp.M800588-MCP200. Epub 2009 Apr 15.


PhyD3: a phylogenetic tree viewer with extended phyloXML support for functional genomics data visualization.

Kreft L, Botzki A, Coppens F, Vandepoele K, Van Bel M.

Bioinformatics. 2017 May 19. doi: 10.1093/bioinformatics/btx324. [Epub ahead of print]


Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).

Foffi G, Pastore A, Piazza F, Temussi PA.

Phys Biol. 2013 Aug 2;10(4):040301. [Epub ahead of print]


The human kinome and kinase inhibition.

Duong-Ly KC, Peterson JR.

Curr Protoc Pharmacol. 2013 Mar;Chapter 2:Unit2.9. doi: 10.1002/0471141755.ph0209s60.


Kinannote, a computer program to identify and classify members of the eukaryotic protein kinase superfamily.

Goldberg JM, Griggs AD, Smith JL, Haas BJ, Wortman JR, Zeng Q.

Bioinformatics. 2013 Oct 1;29(19):2387-94. doi: 10.1093/bioinformatics/btt419. Epub 2013 Jul 31.


Presence and utility of intrinsically disordered regions in kinases.

Kathiriya JJ, Pathak RR, Clayman E, Xue B, Uversky VN, Davé V.

Mol Biosyst. 2014 Nov;10(11):2876-88. doi: 10.1039/c4mb00224e.


Kinase inhibition-related adverse events predicted from in vitro kinome and clinical trial data.

Yang X, Huang Y, Crowson M, Li J, Maitland ML, Lussier YA.

J Biomed Inform. 2010 Jun;43(3):376-84. doi: 10.1016/j.jbi.2010.04.006. Epub 2010 May 1.


Structure-guided selection of specificity determining positions in the human Kinome.

Moll M, Finn PW, Kavraki LE.

BMC Genomics. 2016 Aug 18;17 Suppl 4:431. doi: 10.1186/s12864-016-2790-3.


Taxonomic colouring of phylogenetic trees of protein sequences.

Palidwor G, Reynaud EG, Andrade-Navarro MA.

BMC Bioinformatics. 2006 Feb 17;7:79.


A targeted quantitative proteomics strategy for global kinome profiling of cancer cells and tissues.

Xiao Y, Guo L, Wang Y.

Mol Cell Proteomics. 2014 Apr;13(4):1065-75. doi: 10.1074/mcp.M113.036905. Epub 2014 Feb 11.


SCOWLP: a web-based database for detailed characterization and visualization of protein interfaces.

Teyra J, Doms A, Schroeder M, Pisabarro MT.

BMC Bioinformatics. 2006 Mar 2;7:104.


Integrative analysis of high-throughput RNAi screen data identifies the FER and CRKL tyrosine kinases as new regulators of the mitogenic ERK-dependent pathways in transformed cells.

Nizard P, Ezan F, Bonnier D, Le Meur N, Langouët S, Baffet G, Arlot-Bonnemains Y, Théret N.

BMC Genomics. 2014 Dec 23;15:1169. doi: 10.1186/1471-2164-15-1169.


The sea urchin kinome: a first look.

Bradham CA, Foltz KR, Beane WS, Arnone MI, Rizzo F, Coffman JA, Mushegian A, Goel M, Morales J, Geneviere AM, Lapraz F, Robertson AJ, Kelkar H, Loza-Coll M, Townley IK, Raisch M, Roux MM, Lepage T, Gache C, McClay DR, Manning G.

Dev Biol. 2006 Dec 1;300(1):180-93. Epub 2006 Sep 12.

Supplemental Content

Support Center