Mutation Frequencies and Antibiotic Resistance
By J. Martínez, F. Baquero. Antimicrobial Agents and Chemotherapy, 2000
728 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology, Molecular Medicine
View Paper: https://www.semanticscholar.org/paper/f1484245d0f55261bdd8730fd4b0707c20a93b9d
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Citations in the corpus
- Antibiotics in the aquatic environment--a review--part I. (2009, background): “In general, the emergence of resistance is a highly complex process which is not yet fully understood with respect to the significance of the interaction of bacterial populations and antibiotics, even in a medicinal environment (Björkman et al., 2000; Martinez and Baquero, 2000; Alanis, 2005).”
- Resistance in the environment. (2004, background): “Do the results depend on the test system and the inocula used? What is the role of (natural) resistance against bacteria?(86) In other words, what do we mean by resistance? Even from a medical standpoint, this question is not unimportant.(24) – 26,29,91 Accordingly, several definitions of resistance”
- The future challenges facing the development of new antimicrobial drugs (2002, background): “Non-multiplying bacteria will tend to survive and, interestingly, probably have an enhanced ability to mutate to resistanc”
- Mutation as a Stress Response and the Regulation of Evolvability (2007, background): “Stress-induced mutagenesis was predicted to be important for evolution of drug resistance by pathogens (Martinez and Baquero, 2000), and recent work with”
- Antibiotics in the aquatic environment--a review--part II. (2009, background): “In general, the emergence of resistance is a highly complex process which is not yet fully understood with respect to the significance of the interaction of bacterial populations and antibiotics, even in a medicinal environment (Björkman et al., 2000; Martinez and Baquero, 2000; Alanis, 2005).”
- TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions (2017, background): “119 Artificially designed mutations are used to understand mutation impacts to protein structural stability, flexibility and function, as well as mutagenic diseases, and evolution pathways of organisms.”