The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases.
The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases.
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DOI：
10.1093/nar/gkaa853
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发表时间：
2021-01-08
影响因子：
14.9
通讯作者：
Gomez SM
中科院分区：
文献类型：
--
作者：
Berginski ME;Moret N;Liu C;Goldfarb D;Sorger PK;Gomez SM
激酶构成了许多细胞信号通路的主干，其功能障碍与多种病理过程相似。由于其可药性，激酶是癌症、传染病和自身免疫性疾病等疾病治疗开发工作的主要焦点。虽然它们的重要性是明确的，但近三分之一的激酶的作用或生物学功能在很大程度上是未知的。在这里，我们描述了一个数据资源，黑暗激酶知识库(DKK；https://darkkinome.org)，)，它专门专注于向更广泛的研究社区提供这些未被研究的激酶的数据和试剂。在NIH的照亮可药物基因组(IDG)计划的支持下，DKK专注于162个研究较少或“暗”的激酶的数据和知识生成。通过DKK提供的数据类型包括定量蛋白质组学的平行反应监测(PRM)肽、蛋白质相互作用、NanoBRET试剂和激酶特异性化合物。更高级别的数据也同样在生成和合并，例如通过扰动研究得出的组织基因表达谱和更长期的功能关系。该网站还提供了相关的网络工具，帮助调查人员询问内部和外部数据。作为一种不断发展的资源，DKK寻求继续支持和增强关于这些潜在的高影响可药物靶点的知识。
Kinases form the backbone of numerous cell signaling pathways, with their dysfunction similarly implicated in multiple pathologies. Further facilitated by their druggability, kinases are a major focus of therapeutic development efforts in diseases such as cancer, infectious disease and autoimmune disorders. While their importance is clear, the role or biological function of nearly one-third of kinases is largely unknown. Here, we describe a data resource, the Dark Kinase Knowledgebase (DKK; https://darkkinome.org), that is specifically focused on providing data and reagents for these understudied kinases to the broader research community. Supported through NIH’s Illuminating the Druggable Genome (IDG) Program, the DKK is focused on data and knowledge generation for 162 poorly studied or ‘dark’ kinases. Types of data provided through the DKK include parallel reaction monitoring (PRM) peptides for quantitative proteomics, protein interactions, NanoBRET reagents, and kinase-specific compounds. Higher-level data is similarly being generated and consolidated such as tissue gene expression profiles and, longer-term, functional relationships derived through perturbation studies. Associated web tools that help investigators interrogate both internal and external data are also provided through the site. As an evolving resource, the DKK seeks to continually support and enhance knowledge on these potentially high-impact druggable targets.
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影响因子：
64.8
作者：
Kim, Min-Sik;Pinto, Sneha M.;Getnet, Derese;Nirujogi, Raja Sekhar;Manda, Srikanth S.;Chaerkady, Raghothama;Madugundu, Anil K.;Kelkar, Dhanashree S.;Isserlin, Ruth;Jain, Shobhit;Thomas, Joji K.;Muthusamy, Babylakshmi;Leal-Rojas, Pamela;Kumar, Praveen;Sahasrabuddhe, Nandini A.;Balakrishnan, Lavanya;Advani, Jayshree;George, Bijesh;Renuse, Santosh;Selvan, Lakshmi Dhevi N.;Patil, Arun H.;Nanjappa, Vishalakshi;Radhakrishnan, Aneesha;Prasad, Samarjeet;Subbannayya, Tejaswini;Raju, Rajesh;Kumar, Manish;Sreenivasamurthy, Sreelakshmi K.;Marimuthu, Arivusudar;Sathe, Gajanan J.;Chavan, Sandip;Datta, Keshava K.;Subbannayya, Yashwanth;Sahu, Apeksha;Yelamanchi, Soujanya D.;Jayaram, Savita;Rajagopalan, Pavithra;Sharma, Jyoti;Murthy, Krishna R.;Syed, Nazia;Goel, Renu;Khan, Aafaque A.;Ahmad, Sartaj;Dey, Gourav;Mudgal, Keshav;Chatterjee, Aditi;Huang, Tai-Chung;Zhong, Jun;Wu, Xinyan;Shaw, Patrick G.;Freed, Donald;Zahari, Muhammad S.;Mukherjee, Kanchan K.;Shankar, Subramanian;Mahadevan, Anita;Lam, Henry;Mitchell, Christopher J.;Shankar, Susarla Krishna;Satishchandra, Parthasarathy;Schroeder, John T.;Sirdeshmukh, Ravi;Maitra, Anirban;Leach, Steven D.;Drake, Charles G.;Halushka, Marc K.;Prasad, T. S. Keshava;Hruban, Ralph H.;Kerr, Candace L.;Bader, Gary D.;Iacobuzio-Donahue, Christine A.;Gowda, Harsha;Pandey, Akhilesh
通讯作者：
Pandey, Akhilesh
影响因子：
14.8
作者：
Arrowsmith CH;Audia JE;Austin C;Baell J;Bennett J;Blagg J;Bountra C;Brennan PE;Brown PJ;Bunnage ME;Buser-Doepner C;Campbell RM;Carter AJ;Cohen P;Copeland RA;Cravatt B;Dahlin JL;Dhanak D;Edwards AM;Frederiksen M;Frye SV;Gray N;Grimshaw CE;Hepworth D;Howe T;Huber KV;Jin J;Knapp S;Kotz JD;Kruger RG;Lowe D;Mader MM;Marsden B;Mueller-Fahrnow A;Müller S;O'Hagan RC;Overington JP;Owen DR;Rosenberg SH;Roth B;Ross R;Schapira M;Schreiber SL;Shoichet B;Sundström M;Superti-Furga G;Taunton J;Toledo-Sherman L;Walpole C;Walters MA;Willson TM;Workman P;Young RN;Zuercher WJ
通讯作者：
Zuercher WJ
实现癌症基因组数据的共同愿景。
DOI：
10.1056/nejmp1607591
发表时间：
2016-09-22
期刊：
The New England journal of medicine
影响因子：
--
作者：
Grossman RL;Heath AP;Ferretti V;Varmus HE;Lowy DR;Kibbe WA;Staudt LM
通讯作者：
Staudt LM
影响因子：
14.8
作者：
Mertins P;Tang LC;Krug K;Clark DJ;Gritsenko MA;Chen L;Clauser KR;Clauss TR;Shah P;Gillette MA;Petyuk VA;Thomas SN;Mani DR;Mundt F;Moore RJ;Hu Y;Zhao R;Schnaubelt M;Keshishian H;Monroe ME;Zhang Z;Udeshi ND;Mani D;Davies SR;Townsend RR;Chan DW;Smith RD;Zhang H;Liu T;Carr SA
通讯作者：
Carr SA
影响因子：
14.9
作者：
Nguyen DT;Mathias S;Bologa C;Brunak S;Fernandez N;Gaulton A;Hersey A;Holmes J;Jensen LJ;Karlsson A;Liu G;Ma'ayan A;Mandava G;Mani S;Mehta S;Overington J;Patel J;Rouillard AD;Schürer S;Sheils T;Simeonov A;Sklar LA;Southall N;Ursu O;Vidovic D;Waller A;Yang J;Jadhav A;Oprea TI;Guha R
通讯作者：
Guha R