“Unlike Discovery Studio, which employs a physical model derived from primary, secondary, and tertiary protein structure to compute binding affinity, our model learns the mapping between ...

protConv provides a workflow for predicting the C-alpha backbone of polypeptides from their primary amino acid sequence using a 1D Convolutional Neural Network (CNN). The project leverages curated ...

Abstract: Protein secondary structure prediction ... for protein inconsequential structure illusion from its dominant structure. The proposed approach attains better results with 1% higher accuracy by ...

High resolution structures were used to generate probability density functions for each common secondary structural ... an established benchmark protein set, and then it is used to predict the ...

Amines: Nomenclature, classification, structure, methods of preparation, physical and chemical properties, uses, identification of primary, secondary and tertiary amines. Diazonium salts: Preparation, ...

As in the conventional networks, a hierarchical control structure can be implemented in islanded microgrids. In recent years, many different concepts for primary, secondary, and tertiary control of ...

Accurate prediction of protein variant effects requires a thorough understanding of protein sequence, structure, and function ... sequential and geometric encoders for protein primary and tertiary ...

aiming to improve industrial structure, raise the efficiency of resource utilization, promote cleaner production, increase the proportion of green industries, and accelerate the green transformation ...

The association observed that the pass mark required in Karnataka is higher than that of the other states. While in Karnataka it is 35%, CBSE has it at 33%. In Kerala, it is 30%, with no separate ...

Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate Using a dataset which breaks down FDI flows into primary, secondary and ...