Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Dmitri Mikhailov"'
Autor:
Katie F. Maass, Matthew D. Barfield, Mototsugu Ito, Christopher A. James, Olga Kavetska, Marc Kozinn, Parag Kumar, Maureen Lepak, Luc Alexis Leuthold, Wenkui Li, Dmitri Mikhailov, Shefali Patel, Nisha L. Perez, Deanne Jackson Rudd, Blisse Vakkalagadda, Tracy M. Williams, Jiuhong Zha, Xin Zhang, Melanie D. Anderson
Publikováno v:
Clinical and Translational Science, Vol 15, Iss 12, Pp 2785-2795 (2022)
Abstract Advances in the technologies to enable patient‐centric sampling (PCS) have the potential to improve blood sample collection by enabling clinical trial participants to collect samples via self‐collection or with the help of a caregiver in
Externí odkaz:
https://doaj.org/article/f47514d4b3894b97bd40e254dde58d06
Publikováno v:
Bioanalysis. 12(13)
Aim: Evaluation of a novel microsampling device for its use in clinical sample collection and biomarker analysis. Methodology: Matching samples were collected from 16 healthy donors (ten females, six males; age 42 ± 20) via K2EDTA touch activated ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e864e229ce1cc7054883602d3b396d0
https://pubmed.ncbi.nlm.nih.gov/32686955
https://pubmed.ncbi.nlm.nih.gov/32686955
Autor:
W. Frieauff, H.-J. Martus, John Reilly, Duncan Armstrong, Dmitri Mikhailov, Steven Whitebread, Shu Li, Laszlo Urban
Over the last decade, a number of modern in vivo and in vitro methodologies and in silico tools have been developed to investigate toxicokinetic and toxicodynamic processes of chemicals, enabling an understanding of mechanism of action at different l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a95d45524278b53175735a6dcce408b7
https://doi.org/10.1016/b978-0-12-409547-2.12367-4
https://doi.org/10.1016/b978-0-12-409547-2.12367-4
Autor:
Dmitri Mikhailov, Yucheng Ni, Christopher Hogan, Qiang Lu, Gul Erdemli, Yingxin Lin, Haiyan Zhang, Liping Zhou, Xueying Cao, Mats Holmqvist, Laszlo Urban, Mary Ellen Digan, Yan Tony Lee
Publikováno v:
ASSAY and Drug Development Technologies. 8:766-780
The normal electrophysiologic behavior of the heart is determined by the integrated activity of specific cardiac ionic currents. Mutations in genes encoding the molecular components of individual cardiac ion currents have been shown to result in mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d096d39f65594d276ca2f2a67c653e99
https://doi.org/10.1089/adt.2010.0333
https://doi.org/10.1089/adt.2010.0333
Autor:
Sai Chetan K. Sukuru, Zhan Deng, Natasja Brooijmans, Jean Quancard, Florian Nigsch, Meir Glick, Martin Renatus, Jeremy L. Jenkins, John W. Davies, Rajiv Chopra, Ulrich Hommel, Dmitri Mikhailov, Allen Cornett
Publikováno v:
Protein Science. 19:2096-2109
We present here a comprehensive analysis of proteases in the peptide substrate space and demonstrate its applicability for lead discovery. Aligned octapeptide substrates of 498 proteases taken from the MEROPS peptidase database were used for the in s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54ae3173b917889cc28e8dda7b4d7915
https://doi.org/10.1002/pro.490
https://doi.org/10.1002/pro.490
Autor:
John Davies, Josef Scheiber, Mariusz Milik, Sai Chetan K. Sukuru, Dmitri Mikhailov, Steven Whitebread, Meir Glick, Andreas Bender, Ben Cornett, Laszlo Urban, Jeremy L. Jenkins
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 2:115-122
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21ac6411f7a19ea1eab71aca375aabf7
https://doi.org/10.1002/sam.10036
https://doi.org/10.1002/sam.10036
Autor:
Dmitri Mikhailov, Meir Glick, Josef Scheiber, Andreas Bender, Rohan Eric John Beckwith, Sai Chetan K. Sukuru, Jeremy L. Jenkins, John W. Davies
Publikováno v:
SLAS Discovery. 14:690-699
Typically, screening collections of pharmaceutical companies contain more than a million compounds today. However, for certain high-throughput screening (HTS) campaigns, constraints posed by the assay throughput and/or the reagent costs make it impra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec4459dd975074e67572c1a6de99d37f
https://doi.org/10.1177/1087057109335678
https://doi.org/10.1177/1087057109335678
Autor:
John W. Davies, Mariusz Milik, Jeremy L. Jenkins, Andreas Bender, Steven Whitebread, Sai Chetan K. Sukuru, Jacques Hamon, Meir Glick, Laszlo Urban, Josef Scheiber, Kamal Azzaoui, Dmitri Mikhailov
Publikováno v:
Journal of Medicinal Chemistry. 52:3103-3107
We present a novel method to better investigate adverse drug reactions in chemical space. By integrating data sources about adverse drug reactions of drugs with an established cheminformatics modeling method, we generate a data set that is then visua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5015faffe6acfc76d1388812006e685
https://doi.org/10.1021/jm801546k
https://doi.org/10.1021/jm801546k
Autor:
Meir Glick, Ivan Cornella-Taracido, Stephen Marshall, Edmund Harrington, Dmitri Mikhailov, Stephen Cleaver, Josef Scheiber, John A. Tallarico, Andreas Bender, John W. Davies, Jeremy L. Jenkins
Publikováno v:
Journal of Proteome Research. 8:2575-2585
The elucidation of drug targets is important both to optimize desired compound action and to understand drug side-effects. In this study, we created statistical models which link chemical substructures of ligands to protein domains in a probabilistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e95b196c4b2c544b024d20ce3fc3433
https://doi.org/10.1021/pr900107z
https://doi.org/10.1021/pr900107z
Autor:
Meir Glick, Bin Chen, Sai Chetan K. Sukuru, John W. Davies, Andreas Bender, Laszlo Urban, Jeremy L. Jenkins, Dmitri Mikhailov, Kamal Azzaoui, Steven Whitebread, Mariusz Milik, Josef Scheiber, Jacques Hamon
Publikováno v:
Journal of Chemical Information and Modeling. 49:308-317
We present a workflow that leverages data from chemogenomics based target predictions with Systems Biology databases to better understand off-target related toxicities. By analyzing a set of compounds that share a common toxic phenotype and by compar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d90c9d1190a99b3c92edb9a9037eed69
https://doi.org/10.1021/ci800344p
https://doi.org/10.1021/ci800344p