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Richard M. Murray
Researcher at California Institute of Technology
Publications - 731
Citations - 74988
Richard M. Murray is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Control theory & Linear temporal logic. The author has an hindex of 97, co-authored 711 publications receiving 69016 citations. Previous affiliations of Richard M. Murray include University of California, San Francisco & University of Washington.
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Modeling predicts that CRISPR-based activators, unlike CRISPR-based repressors, scale well with increasing gRNA competition and dCas9 bottlenecking
Samuel Clamons,Richard M. Murray +1 more
TL;DR: It is predicted that E. coli should be able to support dozens to hundreds of CRISPRa gRNAs at >10-fold activation, and much less sensitive to dCas9 bottle-necking thanCRISPRi.
Proceedings ArticleDOI
A stochastic framework for the design of transient and steady state behavior of biochemical reaction networks
TL;DR: A stochastic framework for the design of time evolving probability distributions of molecule species in the system is developed and applied to examples of biochemical reaction networks to illustrate its strengths and limitations.
Posted ContentDOI
The Effect of Compositional Context on Synthetic Gene Networks
Enoch Yeung,Aaron J. Dy,Kyle B. Martin,Andrew H. Ng,Domitilla Del Vecchio,James L. Beck,James J. Collins,Richard M. Murray +7 more
TL;DR: It is shown, both quantitatively and qualitatively, that compositional context significantly alters transcription levels in synthetic gene networks and that key characteristics of gene induction, such as ultra-sensitivity and dynamic range, strongly depend on Compositional context.
Posted Content
Formal Test Synthesis for Safety-Critical Autonomous Systems based on Control Barrier Functions
TL;DR: This paper constructs a minimax problem based on control barrier functions to generate a family of test parameters designed to optimally evaluate whether the system can satisfy the specifications and demonstrates that the proposed test synthesis framework systematically finds those sequences of events (tests) that identify points of system failure.
Posted ContentDOI
Characterizing and Prototyping Genetic Networks with Cell-Free Transcription-Translation Reactions
Melissa K. Takahashi,Clarmyra A. Hayes,James Chappell,Zachary Z. Sun,Richard M. Murray,Vincent Noireaux,Julius B. Lucks +6 more
TL;DR: An overview of a cell-free TX-TL system that utilizes the native Escherichia colitx-TL machinery, thereby allowing a large repertoire of parts and networks to be characterized and a discussion of current and emerging applications of cell free systems.