Sentence examples for mutants to predict from inspiring English sources

Specifically, we present herein a protein engineering study combining classic truncation (Ala/Gly) and atypical mutants to predict folding TS ensemble properties.

We used phylogenetic tools to study its evolution and determined the phenotypes of single-deletion mutants to predict phenotypes of natural strains.

Thus, NIR has been employed to identify plant cell wall mutants and to predict digestibility of forage grasses [ 25- 27].

Machado, Darmohray et al.'s analysis revealed that these movements likely resulted from a failure of the cerebellum of the mutant mice to predict and compensate for the motion of the rest of the body.

In light of these observations, we developed and hosted the ANGDelMut web-based tool, available at http://bioschool.iitd.ernet.in/DelMut/, which utilizes a MD simulation-based protocol to capture certain structural and dynamic features of simulated mutant proteins to predict mechanisms of functional loss.

The EES was computed using the expression levels of five single knockout mutants, and used to predict their expression levels in the double mutant.

Martin et al. [ 11] performed a systematic automated analysis of the effects of TP53 mutations on the structure of the core domain of the p53 protein to functionally classify the various types of p53 mutants according to predicted effects on protein folding or DNA-protein interactions.

A more direct demonstration might involve examining adaptations to perturbations, e.g. adding a weight to the tail and seeing that initially control animals look like mutants but then learn to predict and compensate for this, whereas mutants never do so.

It is reasonable to assume that a method should perform well on the single-mutant data before attempting to predict binding preferences for multi-mutant domains.

Here, we explore the potential of computational protein design to predict mutants of the imipenemase IMP-1 that modulate the catalytic efficiency of the enzyme against a range of substrates.

Recently our group developed a web server ntEGFR (http://crdd.osdd.net/oscadd/ntegfr) for predicting inhibitors against wild and mutant EGFR that allows users to predict inhibitors that inhibit mutant form of EGFR.