E
Enrique Merino
Researcher at National Autonomous University of Mexico
Publications - 90
Citations - 4431
Enrique Merino is an academic researcher from National Autonomous University of Mexico. The author has contributed to research in topics: Gene & Operon. The author has an hindex of 33, co-authored 86 publications receiving 4069 citations. Previous affiliations of Enrique Merino include Stanford University & Centra.
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RegulonDB (version 6.0): gene regulation model of Escherichia coli K-12 beyond transcription, active (experimental) annotated promoters and Textpresso navigation
Socorro Gama-Castro,Verónica Jiménez-Jacinto,Martín Peralta-Gil,Alberto Santos-Zavaleta,Mónica I Peñaloza-Spínola,Bruno Contreras-Moreira,Juan Segura-Salazar,Luis Muñiz-Rascado,Irma Martínez-Flores,Heladia Salgado,César Bonavides-Martínez,Cei Abreu-Goodger,Carlos Rodriguez-Penagos,Juan Miranda-Ríos,Enrique Morett,Enrique Merino,Araceli M. Huerta,Luis G. Treviño-Quintanilla,Julio Collado-Vides +18 more
TL;DR: The improvements, new biology and new features available in RegulonDB v.6.0 now expands beyond transcription initiation, including RNA regulatory elements, specifically riboswitches, attenuators and small RNAs, with their known associated targets.
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Plasmid vector pBR322 and its special-purpose derivatives--a review.
Paulina Balbás,Xavier Soberón,Enrique Merino,Mario Zurita,Hilda Lomelí,Fernando Valle,Noemí Flores,Francisco Bolívar +7 more
TL;DR: A survey of derivative vectors based on the plasmid pBR322 to provide a survey of these derivative vectors and to summarize information currently available on pBR 322.
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Peptides and genes coding for scorpion toxins that affect ion-channels.
TL;DR: The entire repertoire of toxins, independently of their specificity, was analyzed together by computational programs and a phylogenetic tree was built showing two separate branches, showing clear similarities among them.
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ProOpDB: Prokaryotic Operon DataBase.
TL;DR: This work has predicted the operon structures of more than 1200 prokaryotic genomes using the novel and highly accurate operon identification algorithm.
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Novel interactions between K+ channels and scorpion toxins.
TL;DR: Recent data on the three-dimensional structures of K(+) channels and novel scorpion toxins suggest a variety of novel interacting modes of these channels and toxins, which should help increase the understanding of the K(+, channel structure-function relationship.