Titlebook: Biophysics of RNA-Protein Interactions; A Mechanistic View Chirlmin Joo,David Rueda Book 2019 Springer Science+Business Media, LLC, part of

Fermentation

Estimable

https://doi.org/10.1057/978-1-137-59939-1 make both sequence-specific and non-specific interactions. The interaction is disrupted by .-methylation of adenine at a specific position, and this can modulate the assembly of human box C/D snoRNP. L7Ae-k-turn complexes can be used in nanoconstruction to generate a variety of molecular objects.

過(guò)多

Excitotoxin

How Proteins Recognize RNAs is significant but quite challenging. Recent advances and structural information about different RNA–protein complexes open the possibility of dissecting the interactions in the molecular level. This review is an overview of different types of RNA-binding proteins and how they recognize their target RNAs.

Monocle

Single-Molecule Studies of Exonucleases: Following Cleavage Actions One Step at a Timeand have provided many new insights into enzyme kinetics and thermodynamics, reshaping the view of the underlying biochemical reactions. In this review, I emphasize the strength of single-molecule techniques, which are capable of dissecting the whole process into fine catalytic steps of the reaction

生銹

Fitting in the Age of Single-Molecule Experiments: A Guide to Maximum-Likelihood Estimation and Its rmance to that of popular least-squares methods. Considering single-molecule data, we argue that maximum-likelihood estimation is generally the superior choice and conclude with a discussion of how to estimate the spread in parameter estimates through bootstrapping.

規(guī)范要多

The Latin American Studies Book Seriesand have provided many new insights into enzyme kinetics and thermodynamics, reshaping the view of the underlying biochemical reactions. In this review, I emphasize the strength of single-molecule techniques, which are capable of dissecting the whole process into fine catalytic steps of the reaction

高貴領(lǐng)導(dǎo)

https://doi.org/10.1007/978-3-319-99552-6rmance to that of popular least-squares methods. Considering single-molecule data, we argue that maximum-likelihood estimation is generally the superior choice and conclude with a discussion of how to estimate the spread in parameter estimates through bootstrapping.

高歌

GRUEL