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This chapter covers the general features of protein structure and recent advances in structural bioinformatics.
In our classification model, silent features of protein sequences are extracted via Pseudo Amino Acid Composition.
These conjoint triad features abstract the features of protein pairs based on the classification of amino acids.
We have validated our free energy model using Brownian dynamics and reproduce key features of protein folding.
This chapter discusses structural features of protein prenylation and how these relate to the mechanisms of inhibition by small molecules.
By exploiting novel features of protein kinases in these parasites, it may be possible to develop new treatments.
Patil et al. proposed a Bayesian network based filtering method for high-throughput protein interaction data using biological features of protein domain, functional similarity, and homology.
Analyses based on transition networks have become an alternative approach that has the potential to reveal detailed features of protein folding dynamics.
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Within our CMS, the features of protein-coding genes are uploaded from the public domain and then appended by additional features derived from original experimental workflows.
Salient features of protein-based (enzyme, antibody) catalysts are enumerated and used to guide the creation of two new types of solid catalytic materials, namely, organic functionalized molecular sieves and amorphous imprinted organosilicates.
The most important outcome of this work is the "organism-dependent" features of protein-RNA complexes.
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