The current role, limitations, challenges and prospects for protein structure modeling (using information about genes and genomes) are discussed in the context of structural genomics.

Homology modeling aims to build three-dimensional protein structure models using experimentally determined structures of related family members as templates. SWISS-MODEL workspace is an integrated ...

Artificial intelligence (AI) is reshaping diverse fields in science, with molecular science being no exception. A recent study published in Research (Science Partner Journal) reports S2ALM, a powerful ...

One of the challenges in computational protein complex structure prediction is to identify near-native models from a large pool of generated models. We developed a convolutional deep neural ...

Accurately modeling the 3D structure of fusion proteins is crucial for understanding their unique properties and potential applications in fields like biotechnology and medicine. The accuracy of ...

Protein structure modeling technology helps in the identification of potential binding sites, optimizing drug- target interactions, and predicting drug efficacy. Additionally, protein structure ...

This paper argues for and develops a variable structure modelling methodology, that is one which treats individual players in an industry as agents and provides the means for agent entry and exit as ...

Researchers have designed a novel approach to use deep learning to better understand how proteins interact in the body - paving the way to producing accurate structure models of protein ...