Quinupristin-dalfopristin use in children is associated with arthralgias and myalgias.
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Adolescent↗
Biomedical subjects
S Jyothi
Publications and source records attributed to S Jyothi.
Ab-initio prediction and reliability of protein structural genomics by PROPAINOR algorithm.
We have formulated the ab-initio prediction of the 3D-structure of proteins as a probabilistic programming problem where the inter-residue 3D-distances are treated as random variables. Lower and upper bounds for these random variables and the corresponding probabilities are estimated by nonparametric statistical methods and knowledge-based heuristics. In this paper we focus on the probabilistic computation of the 3D-structure using these distance interval estimates. Validation of the predicted structures shows our method to be more accurate than other computational methods reported so far. Our method is also found to be computationally more efficient than other existing ab-initio structure prediction methods. Moreover, we provide a reliability index for the predicted structures too. Because of its computational simplicity and its applicability to any random sequence, our algorithm called PROPAINOR (PROtein structure Prediction by AI an Nonparametric Regression) has significant scope in computational protein structural genomics.
Algorithms↗
Protein structure determination by non-parametric regression and knowledge-based constraints.
We have devised a non-parametric regression-based approach for the estimation of small- and medium-range inter-residual three-dimensional (3d) distances in a protein using only the primary sequence as input. A multivariate analysis of variance technique is used to identify the attributes of the primary sequence that is most effective in determining the tertiary structure. Certain compactness and hydrophobic core building heuristics are used along with the estimated distances in a distance geometry program to predict the 3d-structure (tertiary fold). Our method is found to predict correctly the native topologies of small proteins having up to 150 residues. The sensitivity of the structures to long-range distance constraints is studied by incorporating a small number of NMR distance restraints. In terms of modularity, precision, accuracy and computational efficiency our method is found to be better in comparison with current computational methods like X-PLOR and DRAGON on the sample that was reported in the literature for the comparison of these two methods.
Algorithms↗