We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
—Metabolic pathways are crucial to our understanding of biology. The speed at which new organisms are being sequenced is outstripping our ability to experimentally determine thei...
Luca Pireddu, Brett Poulin, Duane Szafron, Paul Lu...
Abstract: In this study, we applied artificial neural network, implementing the backpropagation algorithm, for the prediction of the excitation and emission maxima of green fluores...
Cytoplasmic post-transcriptional modification of mRNA transcripts in the form of polyadenylated (poly(A)) tails plays a key role in their translational control. The timing and degr...
Eric C. Rouchka, Xiangping Wang, James H. Graham, ...
Our major effort in this reporting period comprised functional genomic studies of key genes for carbon metabolite and nodulation/nitrogen fixation in Sinorhizobium meliloti, compar...