Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Venkatesh Sivaraman"'
Native proline-rich motifs exploit sequence context to target actin-remodeling Ena/VASP protein ENAH
Autor:
Theresa Hwang, Sara S Parker, Samantha M Hill, Robert A Grant, Meucci W Ilunga, Venkatesh Sivaraman, Ghassan Mouneimne, Amy E Keating
Publikováno v:
eLife, Vol 11 (2022)
The human proteome is replete with short linear motifs (SLiMs) of four to six residues that are critical for protein-protein interactions, yet the importance of the sequence surrounding such motifs is underexplored. We devised a proteomic screen to e
Externí odkaz:
https://doaj.org/article/8d2a3a0e6b2f42ec9501ad4f27397441
Artificial intelligence (AI) in healthcare has the potential to improve patient outcomes, but clinician acceptance remains a critical barrier. We developed a novel decision support interface that provides interpretable treatment recommendations for s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5214a092e36b12163c64e1fdd0ce2ff
Autor:
Hao-Fei Cheng, Logan Stapleton, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu
Publikováno v:
CHI Conference on Human Factors in Computing Systems.
Publikováno v:
Protein science : a publication of the Protein Society. 31(6)
Despite advances in protein engineering, the de novo design of small proteins or peptides that bind to a desired target remains a difficult task. Most computational methods search for binder structures in a library of candidate scaffolds, which can l
Modern machine learning techniques commonly rely on complex, high-dimensional embedding representations to capture underlying structure in the data and improve performance. In order to characterize model flaws and choose a desirable representation, m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fcf7458c6cef5d50bf46956320c9133
http://arxiv.org/abs/2202.02641
http://arxiv.org/abs/2202.02641
Autor:
Anna Kawakami, Venkatesh Sivaraman, Hao-Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein
AI-based decision support tools (ADS) are increasingly used to augment human decision-making in high-stakes, social contexts. As public sector agencies begin to adopt ADS, it is critical that we understand workers' experiences with these systems in p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ee0aa48fd30d88a1350d348e12f6b54
The human proteome is replete with short linear motifs (SLiMs) of 4-6 residues that are critical for protein-protein interactions, yet the importance of the sequence surrounding such motifs is underexplored. We devised a proteomic screen to systemati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d85f06f934d0378d61b5e535ab905eb8
https://doi.org/10.1101/2021.03.22.436451
https://doi.org/10.1101/2021.03.22.436451
Publikováno v:
NAACL-HLT (Demonstrations)
Proc Conf
Proc Conf
Embeddings of words and concepts capture syntactic and semantic regularities of language; however, they have seen limited use as tools to study characteristics of different corpora and how they relate to one another. We introduce TextEssence, an inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a84344fe3b9dfe18517b671b04dde65c
http://arxiv.org/abs/2103.11029
http://arxiv.org/abs/2103.11029
Publikováno v:
arXiv
ArXiv
article-version (number) 1
article-version (status) pre
ArXiv
article-version (number) 1
article-version (status) pre
The rapid evolution of the COVID-19 pandemic has underscored the need to quickly disseminate the latest clinical knowledge during a public-health emergency. One surprisingly effective platform for healthcare professionals (HCPs) to share knowledge an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f66e13157d169b8d1bb31ceb00a9a8fd
http://arxiv.org/abs/2102.06836
http://arxiv.org/abs/2102.06836