Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include training a neural network and predicting structural feature sets with the neural network. The operations may include producing predicted structures with the neural network using the structural feature sets, converting the predicted structures into predicted graphs with predicted edges, and comparing predicted graphs to training graphs and predicted edges to training edges to obtain a comparison. The operations may include training a model with the comparison, constructing a graph with the neural network using a node feature set, and reducing missing edges in the graph with the model.

Abstract: A method, computer system, and a computer program product for designing one or more folded structural proteins from at least one raw amino acid sequence is provided. The present invention may include computing one or more character embeddings based on the at least one raw amino acid sequence by utilizing a multi-scale neighborhood-based neural network (MNNN) model. The present invention may then include refining the computed one or more character embeddings with at least one set of sequence neighborhood information. The present invention may further include predicting one or more dihedral angles based on the refined one or more character embeddings.

Abstract: An oligopeptide microarray and methods for the synthesis thereof are presented. Further presented is a microarray on a solid support comprising at least about 10,000 oligopeptide features per cm2 and preferably at least about 50,000 oligopeptide features per cm2.

Abstract: The present invention relates to a microarray comprising at least 50,000 oligopeptide features per cm2 where the oligopeptide features represent at least 50%, at least 60%, at least 70%, at least 80%, at least 90%, at least 95%, at least 99%, or 100% of the proteome of a virus or an organism. The present invention further relates to methods for the synthesis of such microarrays and methods of using microarrays comprising at least 50,000 oligopeptide features per cm2. In an embodiment of the invention, the oligopeptide features represent proteins expressed in the same species, wherein the oligopeptide features are presented in a tiling pattern representing at least about 5,000, at least about 10,000, at least about 15,000, at least about 20,000, or at least about 25,000 proteins expressed in a species.

Abstract: The present invention relates to a microarray comprising at least 50,000 oligopeptide features per cm2 where the oligopeptide features represent at least 50%, 60%, 70%, 80%, 90%, 95%, 99%, or 100% of the proteome of a virus or an organism. The present invention further relates to methods for the synthesis of such microarrays and methods of using microarrays comprising at least 50,000 oligopeptide features per cm2. In an embodiment of the invention, the oligopeptide features represent proteins expressed in the same species, wherein the oligopeptide features are presented in a tiling pattern representing at least about 5,000 to-at least about 25,000 proteins expressed in a species. In some embodiments, the oligopeptide microarray features represent proteins expressed in the same species, wherein the microarray features are present in a tiling pattern that represents at least about 5,000 to at least about 50,000 expressed proteins.

Abstract: An oligopeptide microarray and methods for the synthesis thereof are presented. Further presented is a microarray on a solid support comprising at least about 10,000 oligopeptide features per cm2 and preferably at least about 50,000 oligopeptide features per cm2.