The destabilizing p53 cancer mutation Y220C creates an extended crevice on the surface of the protein that can be targeted by small-molecule stabilizers. Here, we identify different classes of small molecules that bind to this crevice and determine their binding modes by X-ray crystallography. These structures reveal two major conformational states of the pocket and a cryptic, transiently open ...

The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analyse data from mutant phenotype growth experiments with the yeast S. cerevisiae to predict novel gene functions. The analysis of the data presented a number of challenges: multi-class labels, a large number of sparsely p...

We present the contextual tag cloud system, where the context defines a subset of instances, the tags are ontological terms (classes and properties), and the font sizes reflect the number of instances that use each tag. With our system, users can get familiar with the terms and understand how the dataset is populated; or they can dynamically add tags as context and investigate features or look ...

A new type of high-energy binary system has been revealed by the INTEGRAL satellite. These sources are being unveiled by means of multi-wavelength optical, nearand midinfrared observations. Among these sources, two distinct classes are appearing: the first one is constituted of intrinsically obscured high-energy sources, of which IGR J16318-4848 seems to be the most extreme example. The second ...

In this study a preliminary investigative data warehouse is developed to integrate and store very detailed audit data from multiple data sources to support a comprehensive view of database usage and potential security breaches. The data warehouse was populated with real usage data collected from over a year of database use by students in a variety of classes. This data was extracted and seeded ...

Abstract The land surface temperature (LST) increases both spatially and in magnitude as a result of rapid urbanization at the expense low radiative surface. This process modifies urban climate which is attributable to phenomenon recognized Urban Heat Island (UHI). By estimating LST, satellite remote sensing offers cost-effective time-saving methodology for spatio-temporal analyses UHI. limitat...

Object recognition in the real-world requires handling long-tailed or even open-ended data. An ideal visual system needs to recognize populated head concepts reliably and meanwhile efficiently learn about emerging new tail categories with a few training instances. Class-balanced many-shot learning few-shot tackle one side of this problem, by either strong classifiers for tail. In paper, we inve...

Context. Defining templates of galaxy spectra is useful to quickly characterise new observations and organise databases from surveys. These are usually built a pre-defined classification based on other criteria. Aims. We present an unsupervised 702 248 galaxies quasars with redshifts smaller than 0.25 that were retrieved the Sloan Digital Sky Survey (SDSS) database, release 7. Methods. The firs...