Abstract: Planning a disassembly sequence of product structure in a remanufacturing-oriented manner is a newly emerging and important problem, which has attracted considerable attention owing to high ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

On Thursday, researchers at Carnegie Mellon University unveiled LegoGPT, an AI model that creates physically stable Lego structures from text prompts. The new system not only designs Lego models that ...

Structure content for AI search so it’s easy for LLMs to cite. Use clarity, formatting, and hierarchy to improve your visibility in AI results. In the SEO world, when we talk about how to structure ...

Abstract: Understanding text structure, which enables the automated system to parse long text structure, is crucial for various natural language processing applications such as information extraction, ...

ABSTRACT: This study centers on, with the aid of Kenneth Burke’s Rhetoric “Identification”, a rhetorical analysis of the English works by Chinese leaders throughout three different periods (1960-2017) ...

This script maps residue numbering and chains between a UniProt ID and a PDB structure. It can also find all structures or the best structure for a protein. I wrote this because I was fed up with the ...

Proteins, the essential molecular machinery of life, play a central role in numerous biological processes. Decoding their intricate sequence, structure, and function (SSF) is a fundamental pursuit in ...

Mark Stevenson has previously received funding from Google. The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new ...