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Phillip M. Borden
Researcher at Howard Hughes Medical Institute
Publications - 2
Citations - 122
Phillip M. Borden is an academic researcher from Howard Hughes Medical Institute. The author has contributed to research in topics: Serotonin transporter & Serotonergic. The author has an hindex of 2, co-authored 2 publications receiving 43 citations.
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Journal ArticleDOI
Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.
Elizabeth K. Unger,Jacob P. Keller,Michael Altermatt,Ruqiang Liang,Aya Matsui,Chunyang Dong,Olivia J Hon,Zi Yao,Junqing Sun,Samba Banala,Meghan E. Flanigan,David A. Jaffe,Samantha Hartanto,Jane Carlen,Grace O. Mizuno,Phillip M. Borden,Amol V. Shivange,Lindsay P. Cameron,Steffen Sinning,Suzanne M. Underhill,David E. Olson,Susan G. Amara,Duncan Temple Lang,Gary Rudnick,Jonathan S. Marvin,Luke D. Lavis,Henry A. Lester,Veronica A. Alvarez,Andrew J. Fisher,Jennifer A. Prescher,Thomas L. Kash,Vladimir Yarov-Yarovoy,Viviana Gradinaru,Loren L. Looger,Lin Tian +34 more
TL;DR: iSeroSnFR can be used to detect serotonin release in freely behaving mice during fear conditioning, social interaction, and sleep/wake transitions, and it is expected that both machine-learning-guided binding-pocket redesign and iSero SnFR will have broad utility for the development of other sensors and in vitro and in-vivo serotonin detection, respectively.
Journal ArticleDOI
Directed Evolution of a Selective and Sensitive Serotonin Biosensor Via Machine Learning
Elizabeth K. Unger,Jacob P. Keller,Michael Altermatt,Ruqiang Liang,Zi Yao,Junqing Sun,Aya Matsui,Chunyang Dong,David A. Jaffe,Samantha Hartanto,Grace O. Mizuno,Phillip M. Borden,Amol V. Shivange,Steffen Sinning,Suzanne M. Underhill,Jane Carlin,Samba Banala,Lindsay P. Cameron,David E. Olson,Susan G. Amara,Duncan Temple Lang,Gary Rudnick,Jonathan S. Marvin,Luke D. Lavis,Henry A. Lester,Veronica A. Alvarez,Andrew J. Fisher,Jennifer A. Prescher,Vladimir Yarov-Yarovoy,Viviana Gradinaru,Loren L. Looger,Lin Tian +31 more
TL;DR: In this paper, a binding pocket redesign strategy guided by machine learning is used to create a high-performance soluble, fluorescent serotonin sensor (iSeroSnFR), which has sufficient selectivity and sensitivity needed for direct detection of serotonin transients in various biological systems, especially permits detection of subsecondscale serotonin release events during fear conditioning and sleep-to-wakefulness transitions.