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Scientific Reports
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October 18, 2017
Probing ligand recognition of the opioid pan antagonist AT-076 at nociceptin, kappa, mu, and delta opioid receptors through structure-activity relationships
V Blair Journigan, Willma E Polgar, Edward W Tuan, et al.
Biochimica Et Biophysica Acta
|
April 20, 2010
Biochemical and structural consequences of a glycine deletion in the alpha-8 helix of protoporphyrinogen oxidase
Franck E Dayan, Pankaj R Daga, Stephen O Duke, et al.
IEEE Transactions on Nanobioscience
|
September 19, 2012
Combined rule extraction and feature elimination in supervised classification
Sheng Liu, Ronak Y Patel, Pankaj R Daga, et al.
BMC Bioinformatics
|
October 11, 2012
Implementation of multiple-instance learning in drug activity prediction
Gang Fu, Xiaofei Nan, Haining Liu, et al.
Bioorganic & Medicinal Chemistry
|
October 6, 2009
Semisynthetic latrunculin B analogs: studies of actin docking support a proposed mechanism for latrunculin bioactivity
Sucheta Kudrimoti, Safwat A Ahmed, Pankaj R Daga, et al.
European Journal of Medicinal Chemistry
|
June 18, 2005
Synthesis and SAR/3D-QSAR studies on the COX-2 inhibitory activity of 1,5-diarylpyrazoles to validate the modified pharmacophore
Sunil K Singh, V Saibaba, K Srinivasa Rao, et al.
BMC Bioinformatics
|
December 15, 2011
Leveraging domain information to restructure biological prediction
Xiaofei Nan, Gang Fu, Zhengdong Zhao, et al.
Organic Letters
|
October 13, 2007
Latrunculin with a highly oxidized thiazolidinone ring: structure assignment and actin docking
Safwat A Ahmed, Srinivas Odde, Pankaj R Daga, et al.
Science Translational Medicine
|
August 31, 2018
A bifunctional nociceptin and mu opioid receptor agonist is analgesic without opioid side effects in nonhuman primates
Huiping Ding, Norikazu Kiguchi, Dennis Yasuda, et al.
Mutagenesis
|
October 26, 2018
Improvement of quantitative structure-activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge Project
Masamitsu Honma, Airi Kitazawa, Alex Cayley, et al.
Page
of 3
Search research articles
Search
Showing results (11-20 of 23) with videos related to
Sort By:
Page
of 3
Scientific Reports
|
October 18, 2017
Probing ligand recognition of the opioid pan antagonist AT-076 at nociceptin, kappa, mu, and delta opioid receptors through structure-activity relationships
V Blair Journigan, Willma E Polgar, Edward W Tuan, et al.
Biochimica Et Biophysica Acta
|
April 20, 2010
Biochemical and structural consequences of a glycine deletion in the alpha-8 helix of protoporphyrinogen oxidase
Franck E Dayan, Pankaj R Daga, Stephen O Duke, et al.
IEEE Transactions on Nanobioscience
|
September 19, 2012
Combined rule extraction and feature elimination in supervised classification
Sheng Liu, Ronak Y Patel, Pankaj R Daga, et al.
BMC Bioinformatics
|
October 11, 2012
Implementation of multiple-instance learning in drug activity prediction
Gang Fu, Xiaofei Nan, Haining Liu, et al.
Bioorganic & Medicinal Chemistry
|
October 6, 2009
Semisynthetic latrunculin B analogs: studies of actin docking support a proposed mechanism for latrunculin bioactivity
Sucheta Kudrimoti, Safwat A Ahmed, Pankaj R Daga, et al.
European Journal of Medicinal Chemistry
|
June 18, 2005
Synthesis and SAR/3D-QSAR studies on the COX-2 inhibitory activity of 1,5-diarylpyrazoles to validate the modified pharmacophore
Sunil K Singh, V Saibaba, K Srinivasa Rao, et al.
BMC Bioinformatics
|
December 15, 2011
Leveraging domain information to restructure biological prediction
Xiaofei Nan, Gang Fu, Zhengdong Zhao, et al.
Organic Letters
|
October 13, 2007
Latrunculin with a highly oxidized thiazolidinone ring: structure assignment and actin docking
Safwat A Ahmed, Srinivas Odde, Pankaj R Daga, et al.
Science Translational Medicine
|
August 31, 2018
A bifunctional nociceptin and mu opioid receptor agonist is analgesic without opioid side effects in nonhuman primates
Huiping Ding, Norikazu Kiguchi, Dennis Yasuda, et al.
Mutagenesis
|
October 26, 2018
Improvement of quantitative structure-activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge Project
Masamitsu Honma, Airi Kitazawa, Alex Cayley, et al.
Page
of 3