Predicting the substrates and function of USP30
Neural substrates of early executive function development
... More recent studies have, however, indicated that the relationship between COMT Val 158 Met genotypes and EF during early childhood may be more complex. In a recent fNIRS study, Moriguchi and Shinohara (2018) found an ...
21
Investigation of probe substrates to assess hepatic transport function
... probe substrates to predict interindividual differences in hepatic clearance of sorafenib in patients with hepatocellular carcinoma and Child’s B cirrhosis to explain the variability in the pharmacokinetics and ...
402
Predicting gene function using similarity learning
... In predicting gene function, discriminative learning algorithms are challenged by the small number of posi- tive genes (genes annotated to a given category) for many categories, which is known as the ...
12
Factors predicting early graft function in Renal Transplantation.
... graft function also translates into poor long term graft function and is also an independent risk factor for both acute rejection as well as graft loss in the long term ...allograft function has some ...
70
A discriminant function for predicting participant retention in fitness programs.
... This study has established the model for developing a discriminant function for predicting participant retention in fitness programs. The results have shown that the two groups are indeed statistically ...
241
Predicting gene function in a hierarchical context with an ensemble of classifiers
... Naïve Bayes combination of SVMs on diverse data improves performance for large GO terms We also measured the improvement offered by the third clas- sifier in our ensemble, the naïve Bayes combination of per- dataset ...
18
Structure-function relationship in S-nitrosoglutathione reductase and the development of fluorogenic pseudo-substrates
... 15 1.3.4. Physiology and Inhibitors of GSNOR GSNOR plays a crucial role in the variation of NO in the cells. NO is highly reactive and will form stable RSNO equilibrium in the presence of GSH in the form of GSNO, a ...
95
Characterization of a dual function macrocyclase enables design and use of efficient macrocyclization substrates
... for substrates shorter than 30 amino acids 32 ...peptide substrates and inhibitors (ranging from 2 30 to 7 amino acids 34 ) are available, no substrate complex with a long peptide has previously been ...
10
An Improved Deep Learning Model for Predicting DNA Sequence Function
... the function of each sequence ...the function of DNA sequence, in- cluding, CNN (convolutional neural network), RNN (recurrent neural net- work), and LSTM [1] (long short-term memory) have been ...the ...
7
Predicting human protein function with multitask deep neural networks
... MTDNN learns individual tasks partially using shared representations and partially from task-specific characteristics. When no close homologues with experimentally validated functions can be identified, MTDNN gives more ...
17
Predicting the Effects of Missense Variation on Protein Structure, Function, and Evolution
... In this dissertation, I have presented three of my attempts at these difficult improvements. In the first chapter, I improved the method’s applicability to a specific clinical problem. In the second, I addressed the ...
132
Predicting Student Outcomes Using Discriminant Function Analysis. Abstract
... Introduction Many research questions in education seek to predict student outcomes based upon a set of independent variables. These variables may include high school information, background information, or scores on a ...
11
Predicting restoration of kidney function during CRRT-free intervals
... Of the parameters that showed different distributions in the two outcome groups, most of the differences were consistent with the expectations based on knowl- edge of renal injury. For example, mean arterial pres- sure, ...
7
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks
... Results: Here we use Bayesian networks to predict whether or not a missense mutation will affect the function of the protein. Bayesian networks provide a concise representation for inferring models from data, and ...
15
Going Beyond Homology for Predicting Protein Function for Newly Sequenced Organisms
... M. Barot, H. Fang, S. Toppo, E. Lavezzo, M. Falda, M. Berselli, S. C. Tosatto, M. Carraro, D. Piovesan, H. U. Rehman, Q. Mao, S. Zhang, S. Vucetic, G. S. Black, D. Jo, D. J. Larsen, A. R. Omdahl, L. W. Sagers, E. Suh, J. ...
136
Predicting Leak Rate as a Function of Pressure for Prestressed Concrete Pressure Vessels
... to occur at containment wall strains large enough to tear the steel shell. To predict tears in steel shells consisting of plates, weld seams, stiffeners, and other details, two fundamental types of failure criteria are ...
10
Predicting Lung Function Decline with Serum Pneumoproteins: A Case Control Study
... not have serial PFT measures. It is possible that some patients followed for less than a year had a rapid deteri- oration in lung function leading to death or lung trans- plant and would have not been captured in ...
6
Predicting the structure and function of genomic sequences using the CATH structural database
... of predicting the molecular an d /o r cellular functions of the gene products is to use sequence comparison techniques to search for proteins whose functions are already ...
222
Predicting protein function and protein-ligand interaction with the 3D neighborhood kernel
... Gene Ontology Classification (GO) The Gene Ontology (GO) dataset links 1024 proteins to 23 GO terms [20]. All GO terms are leaves of the GO hierarchy, while 11 of them belong to the molecular function branch, 8 to ...
15
Predicting visual function from the measurements of retinal nerve fiber layer structure
... A plausible explanation for the improvements afforded by the BRBF technique is that it models the spatial and quantitative structure-function relationship more precisely. The technical and statistical advantages ...
29