Molecular glues, tiny molecules that connect one protein to another, are promising targets for pharmaceutical research. By ...

Herein we present a model based on DSPRED classifier, a hybrid method composed of dynamic Bayesian networks and a support vector machine to predict 3-state secondary structure information of proteins.

In this paper, a 3D shape-based approach is presented for the efficient search, retrieval, and classification of protein molecules. The method relies primarily on the geometric 3D structure of the ...

Given the amino-acid sequence or 3D structure of a protein, how much can we predict about its function using just a desktop computer? The recent explosive growth in the volume of sequence data and ...

The tumor suppressor p53 is a transcription factor that controls the expression of hundreds of genes. Emerging evidence suggests that the p53-induced RNA-binding protein ZMAT3 is a key splicing ...

The PDB has created systems for the processing, exchange, query, and distribution of data that will enable many aspects of high throughput structural genomics.

Human protein Atlas comprises millions of images annotated with single or multiple labels. However, only a few methods for automated prediction of protein localization have been developed, and they ...