Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jasmine Collins"'
Autor:
Simira Carothers, Rogers Nyamwihura, Jasmine Collins, Huaisheng Zhang, HaJeung Park, William N. Setzer, Ifedayo Victor Ogungbe
Publikováno v:
Molecules, Vol 23, Iss 2, p 355 (2018)
The Latin American plant Tabernaemontana longipes was studied in this work as a potential source of antiparasitic agents. The chloroform extract of T. longipes leaves was separated into several fractions, and tested for antitrypanosomal activity. One
Externí odkaz:
https://doaj.org/article/8d2e591851e545abae4ed9a2170597e4
Publikováno v:
2022 Conference on Cognitive Computational Neuroscience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9fc2b567dfb60e1a2259dc75d8b2e9e
https://doi.org/10.32470/ccn.2022.1020-0
https://doi.org/10.32470/ccn.2022.1020-0
Autor:
Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu, Xi Zhang, Tomas F. Yago Vicente, Thomas Dideriksen, Himanshu Arora, Matthieu Guillaumin, Jitendra Malik
We introduce Amazon Berkeley Objects (ABO), a new large-scale dataset designed to help bridge the gap between real and virtual 3D worlds. ABO contains product catalog images, metadata, and artist-created 3D models with complex geometries and physical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c55f3452162b23f0d3678cdb31c21cf9
Publikováno v:
2019 Conference on Cognitive Computational Neuroscience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c66769099e92331502a1828a1671b4f5
https://doi.org/10.32470/ccn.2019.1417-0
https://doi.org/10.32470/ccn.2019.1417-0
Publikováno v:
Journal of Computer-Aided Molecular Design. 30:761-771
We assess the performance of several machine learning-based scoring methods at protein-ligand pose prediction, virtual screening, and binding affinity prediction. The methods and the manner in which they were trained make them sufficiently diverse to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3ccaecd9fa1a96cc6662f45b06939e0
https://doi.org/10.1007/s10822-016-9960-x
https://doi.org/10.1007/s10822-016-9960-x
Autor:
Jonathan C. Kao, Larry F. Abbott, Leigh R. Hochberg, Stephen I. Ryu, Matthew T. Kaufman, Chethan Pandarinath, Jaimie M. Henderson, Eric M. Trautmann, Sergey D. Stavisky, Jasmine Collins, Daniel J. O’Shea, Krishna V. Shenoy, Rafal Jozefowicz, David Sussillo
Publikováno v:
Nature methods
Neuroscience is experiencing a data revolution in which simultaneous recording of many hundreds or thousands of neurons is revealing structure in population activity that is not apparent from single-neuron responses. This structure is typically extra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b9108cf5ad5a7b514ae350ade373e5b
https://pubmed.ncbi.nlm.nih.gov/30275586
https://pubmed.ncbi.nlm.nih.gov/30275586