S
Subhayu Basu
Researcher at Princeton University
Publications - 17
Citations - 3167
Subhayu Basu is an academic researcher from Princeton University. The author has contributed to research in topics: Protein engineering & Peptide sequence. The author has an hindex of 12, co-authored 17 publications receiving 3015 citations.
Papers
More filters
Journal ArticleDOI
A synthetic multicellular system for programmed pattern formation
TL;DR: A synthetic multicellular system in which genetically engineered ‘receiver’ cells are programmed to form ring-like patterns of differentiation based on chemical gradients of an acyl-homoserine lactone signal that is synthesized by ‘sender” cells is shown.
Journal ArticleDOI
Synthetic biology: new engineering rules for an emerging discipline
TL;DR: The basic features of synthetic biology as a new engineering discipline are outlined, covering examples from the latest literature and reflecting on the features that make it unique among all other existing engineering fields.
Journal ArticleDOI
Spatiotemporal control of gene expression with pulse-generating networks
TL;DR: A synthetic multicellular bacterial system where receiver cells exhibit transient gene expression in response to a long-lasting signal from neighboring sender cells that can respond to communication from nearby sender cells while completely ignoring communication from senders cells further away.
Journal ArticleDOI
Genetic circuit building blocks for cellular computation, communications, and signal processing
Ron Weiss,Subhayu Basu,Sara Hooshangi,Abigail Kalmbach,David K. Karig,Rishabh Mehreja,Ilka Netravali +6 more
TL;DR: An emerging engineering discipline to program cell behaviors by embedding synthetic gene networks that perform computation, communications, and signal processing and employs directed evolution to optimize genetic circuitbehavior.
Engineering Enzyme Specificity Using Computational Design of a Defined-Sequence Library
Shaun M. Lippow,Tae Seok Moon,Subhayu Basu,Sang-Hwal Yoon,Xiazhen Li,Brad Chapman,Keith Robison,Dasa Lipovsek,Kristala L. J. Prather +8 more
TL;DR: A method for combining structure-based computational protein design with library-based enzyme screening, in which inter-residue correlations favored by the design are encoded into a defined-sequence library, is developed.