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Andrew D. Ellington
Researcher at University of Texas at Austin
Publications - 599
Citations - 48723
Andrew D. Ellington is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Aptamer & RNA. The author has an hindex of 96, co-authored 569 publications receiving 43262 citations. Previous affiliations of Andrew D. Ellington include Harvard University & UPRRP College of Natural Sciences.
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How a B family DNA polymerase has been evolved to copy RNA.
TL;DR: Crystal structures of a reverse transcriptase RTX, which was evolved in vitro from the B family polymerase KOD, in complex with either a DNA duplex or an RNA–DNA hybrid, suggest that the intrinsically flexible Thumb domain seems to play a major role in accommodating the RNA– DNA hybrid product distal to the active site.
Posted ContentDOI
A structure-based deep learning framework for protein engineering
Raghav Shroff,Cole Aw,Barrett R. Morrow,Daniel J. Diaz,Donnell I,Jimmy Gollihar,Andrew D. Ellington,Ross Thyer +7 more
TL;DR: A 3D convolutional neural network is reported that enables identification of novel gain-of-function mutations, and subsequent experiments confirm substantive phenotypic improvements in stability-associated phenotypes in vivo across three diverse proteins.
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Incorporation of 5′-N-BOC-2′, 5′-Dideoxynucleoside-3′-O-Phosphoramidites Into Oligonucleotides by Automated Synthesis
TL;DR: An efficient method for synthesizing 5′-Boc-5′-amino-2′, 5′ dideoxynucleoside phosphoramidites and conditions for their incorporation in solid-phase oligonucleotide synthesis are presented in this paper.
Journal ArticleDOI
Origins for Everyone
TL;DR: The scientific concepts and issues underlying the origin of life, possible mechanisms of origins, and the features of living systems that can arguably be viewed as an inevitable consequence of the earliest molecules are explained.
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Using in vitro nucleic acid selections for conventional drug design
TL;DR: The binding sites of regulatory proteins on DNA or RNA can be precisely delimited using in vitro selection and “artificial” phylogenices generated by this technique can be used to model the three‐dimensional structure of nucleic acids.