J
James J. Collins
Researcher at Massachusetts Institute of Technology
Publications - 700
Citations - 105255
James J. Collins is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Synthetic biology & Population. The author has an hindex of 151, co-authored 669 publications receiving 89476 citations. Previous affiliations of James J. Collins include Baylor College of Medicine & University at Albany, SUNY.
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Journal ArticleDOI
Chemogenomics and orthology-based design of antibiotic combination therapies
Sriram Chandrasekaran,Sriram Chandrasekaran,Sriram Chandrasekaran,Melike Cokol-Cakmak,Nil Sahin,Kaan Yilancioglu,Hilal Kazan,James J. Collins,Murat Cokol,Murat Cokol,Murat Cokol +10 more
TL;DR: INDIGO quantifies the influence of individual chemical–genetic interactions on synergy and antagonism and significantly outperforms existing approaches based on experimental evaluation of novel predictions in Escherichia coli, and enables the discovery of effective combination therapies in less‐studied pathogens by leveraging chemogenomics data in model organisms.
Journal ArticleDOI
Engineered Phagemids for Nonlytic, Targeted Antibacterial Therapies.
Russell-John Krom,Prerna Bhargava,Prerna Bhargava,Prerna Bhargava,Michael A. Lobritz,James J. Collins +5 more
TL;DR: This work shows that targeted, engineered phagemid therapy can serve as a viable, nonantibiotic means to treat bacterial infections, while avoiding the health issues inherent to lytic and replicative bacteriophage use.
Journal ArticleDOI
Engineering living therapeutics with synthetic biology.
Andres Cubillos-Ruiz,Tingxi Guo,Anna Sokolovska,Paul F. Miller,James J. Collins,James J. Collins,Timothy K. Lu,Jose M. Lora +7 more
TL;DR: In this article, the authors conceptualize how synthetic biology approaches can be applied to program living cells with therapeutic functions and discuss the advantages that they offer over conventional therapies in terms of flexibility, specificity and predictability, as well as challenges for their development.
Understanding and Sensitizing Density-Dependent Persistence to Quinolone Antibiotics
Meagan Hamblin,Arnaud Gutierrez,Saloni R. Jain,Prerna Bhargava Saluja,Michael A. Lobritz,James J. Collins +5 more
TL;DR: In this article, the authors show that exhaustion of the metabolic inputs that couple carbon catabolism to oxidative phosphorylation is a primary cause of growth phase-dependent persistence to quinolone antibiotics.
Journal ArticleDOI
Using chaos control and tracking to suppress a pathological nonchaotic rhythm in a cardiac model.
TL;DR: An AV nodal conduction model which undergoes a period-doubling bifurcation into alternans is implemented and it is shown that additive noise can be used to locate the unstable period-1 fixed point which underlies the alternans rhythm.