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The mutations can improve yield, quality, taste, size and resistance to disease and can help plants adapt to diverse climates and conditions.
Predicting the energetic effects of protein mutations can improve our fundamental understanding of structural biology, the molecular basis of diseases, and possible routes to addressing those diseases with biological drugs.
Second, more hydrophobic side chains of the NRTI-resistance mutations can improve p66's ability to exclude water from the catalytic cavity and allow more intimate interactions between nucleotides, the primer-template, and amino acids around the catalytic site for distinguishing between correct and incorrect base pairs.
These studies provide evidence that only a few mutations can improve stability and activity significantly.
These results echo conclusions drawn from experiments on fruit flies, which suggest that deleterious mutations with age-specific effects might be rare [ 28] and that in novel environments mutations can improve several fitness components simultaneously [ 29].
Given the high propensity of Q/N-rich peptides to form amyloid (Chiti and Dobson, 2006), the amyloidogenic potential of Asn and Gln has often been considered equal however, recent evidence suggests that N-rich proteins may have a slightly higher tendency to form amyloid (Alberti et al., 2009) [even though Gln mutations can improve stability (Gromiha et al., 1999)].
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ABCG2 is an important efflux transporter of xenobiotic compounds, including many antineoplastic drugs, and its inhibition or mutation can improve cancer chemotherapy[120].
In the classical view of natural selection, beneficial mutations that can improve the chance of individuals to survive and reproduce tend to become more frequent in populations over time (Darwin and Beer 1859).
The quantum-behaved particle swarm optimization algorithm with mutation operation can improve the search performance of this algorithm.
This is due to the fact that for the AGA, the fitness function can be adjusted based on the evolutional generations, and the adaptive crossover and mutation operation can improve the search performance.
In these strategies, tabu search introduced into the crossover and mutation operators can improve the local search capability, the adoption of variable population size strategy can maintain the diversity of the population, and the ranking selection strategy can improve the possibility of an individual with low energy value entering into next generation.
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