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N-Glycosylation plays a very important role in various processes like quality control of proteins produced in ER, transport of proteins and in disease control.The experimental elucidation of N-Glycosylation sites is expensive and laborious process. In this work we build models for identification of potential N-Glycosylation sites in proteins based on sequence and structural features.The best model has cross validation accuracy rate of 72.81%.

In this paper we present a probabilistic approach for analyzing the dependence of crosstalk effects on input pattern correlations. In particular, we show that the effects of coupling between interconnections, in current VLSI ICs, are strongly dependent on the spatio-temporal correlations at the primary inputs. Consequently, a smaller fraction of the total number of nets poses true crosstalk problems and only that fraction should be considered at lower levels of abstraction. The analysis is carried out at the logic-level of abstraction, which provides efficient CPU run time and memory usage.