Protein biomarker druggability profiling.
Protein biomarker druggability profiling.
复制标题
DOI：
10.1016/j.jbi.2017.01.014
复制
发表时间：
2017-03
影响因子：
4.5
通讯作者：
Bologa C
中科院分区：
文献类型：
--
作者：
Mani S;Cannon D;Ohls R;Oprea T;Mathias S;Ballard K;Ursu O;Bologa C
开发用于通过将疾病或临床状况的分级生物标志物的机械和潜在因果注释并入随后映射到疾病相关生化途径中的背景框架中来构建模型的自动化和交互式方法可用于潜在的药物靶标评估和提出新的药物靶标。我们通过招募127名婴儿（39名迟发性新生儿败血症婴儿和88名对照婴儿），通过对血清进行集中的蛋白质组学分析，并应用我们开发的交互式药物敏感性分析算法（DPA），使用新生儿败血症中获得的排名蛋白质生物标志物证明了这种方法的潜力。
Developing automated and interactive methods for building a model by incorporating mechanistic and potentially causal annotations of ranked biomarkers of a disease or clinical condition followed by a mapping into a contextual framework in disease-linked biochemical pathways can be used for potential drug-target evaluation and for proposing new drug targets. We demonstrate the potential of this approach using ranked protein biomarkers obtained in neonatal sepsis by enrolling 127 infants (39 infants with late onset neonatal sepsis and 88 control infants) and by performing a focused proteomic profile of the sera and by applying the interactive druggability profiling algorithm (DPA) developed by us.
登录
查看更多内容
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：
14.9
作者：
Kanehisa M;Goto S;Sato Y;Furumichi M;Tanabe M
通讯作者：
Tanabe M
影响因子：
5.1
作者：
Genuer, Robin;Poggi, Jean-Michel;Tuleau-Malot, Christine
通讯作者：
Tuleau-Malot, Christine
影响因子：
14.5
作者：
Bogdanov, Mikhail;Matson, Wayne R.;Beal, M. Flint
通讯作者：
Beal, M. Flint
影响因子：
3.7
作者：
Domenici E;Willé DR;Tozzi F;Prokopenko I;Miller S;McKeown A;Brittain C;Rujescu D;Giegling I;Turck CW;Holsboer F;Bullmore ET;Middleton L;Merlo-Pich E;Alexander RC;Muglia P
通讯作者：
Muglia P