For more details, please follow the instructions for transformers installations. Example for how to translate between sequence and structure (3Di) using ProstT5: We ...

I'm processing financial documents with 3-column layouts using Docling, but the text extraction is flowing incorrectly across column boundaries, making the output unusable for RAG applications. Text ...

Abstract: To address the issues of variable text scales, adhesion of adjacent text, missed detection of small text, and poor detection of long text, a bill text detection algorithm based on sequence ...

This valuable work presents an interpretable protein-DNA Energy Associative (IDEA) model for predicting binding sites and affinities of DNA-binding proteins. While the method is convincing, it ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...

MOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian 116024, Liaoning, China ...

Biomolecular X-ray Crystallography, Groningen Biomolecular Sciences and Biotechnology Institute (GBB), University of Groningen, Nijenborgh 7, Groningen 9747 AG, The Netherlands ...

Abstract: The Transformer-based models have been successfully applied in time series forecasting tasks. However, most of these models retain the sequence-to-sequence structure, which is widely used in ...

Computational protein structure prediction has been significantly improved by the application of coevolution information derived from multiple sequence alignment (MSA) and deep learning. Although very ...