Sequence-Selective Visual Recognition of Nonprotected Dipeptides

Residue- and sequence-selective binding of nonaromatic dipeptides by bis(beta-cyclodextrin) with a functional tether.

Peptide recognition by synthetic receptors is known to mediate versatile protein±protein interactions and give specific biochemical functions. Among them, the development of cyclodextrin (CD)-based receptors for residueand sequence-selective recognition of peptides is one of the most challenging tasks, which may also lead us to deeper understanding and smarter mimicking of vital biological func...

Daunomycin modifies the sequence-selective recognition of DNA by actinomycin.

The antitumour antibiotic actinomycin D normally binds to DNA by intercalation at sequences containing the CpG step, but in the presence of daunomycin it has been reported to interact with poly(dA-dT). This observation has neither been confirmed nor explained. Here we have used a photoreactive 7-azido derivative of actinomycin to study the effect of daunomycin on its binding to three DNA fragme...

Target-Selective Protein S-Nitrosylation by Sequence Motif Recognition

S-nitrosylation is a ubiquitous protein modification emerging as a principal mechanism of nitric oxide (NO)-mediated signal transduction and cell function. S-nitrosylases can use NO synthase (NOS)-derived NO to modify selected cysteines in target proteins. Despite proteomic identification of over a thousand S-nitrosylated proteins, few S-nitrosylases have been identified. Moreover, mechanisms u...

Seismic Data Forecasting: A Sequence Prediction or a Sequence Recognition Task

In this paper, we have tried to predict earthquake events in a cluster of seismic data on pacific ring of fire, using multivariate adaptive regression splines (MARS). The model is employed as either a predictor for a sequence prediction task, or a binary classifier for a sequence recognition problem, which could alternatively help to predict an event. Here, we explain that sequence prediction/r...

A Selective Weighted Late Fusion for Visual Concept Recognition