Mingyang Xu

All-Atom Structure Tokenizer: AtomLM-9b for Biomolecular Structure Prediction

The paper introduces AtomLM-9b, a language model using an all-atom structure tokenizer to predict protein structures with performance comparable to AlphaFold 3.

ScienceRSI: Recursive Scientific Self-Improvement

ScienceRSI improves scientific AI through recursive self-improvement by transferring capabilities across model scales, achieving top performance on multiple benchmarks.

Chain of Structures: Connecting Reasoning and Generation for Protein Design

The paper introduces a method for protein design that connects reasoning and generation through structural states, achieving high performance on a benchmark.

BioClaw: Human-Bot Research Collaboration Ecosystems in Group Chats

BioClaw enables human-bot collaboration in group chats to execute biomedical analyses using containerized tools and workflows across multiple domains and data types.

Claw4Science: A Dataset and Platform for the OpenClaw Scientific Agent Ecosystem

The paper introduces a curated dataset and platform for the OpenClaw scientific agent ecosystem, analyzing its structure and challenges in reproducibility and governance.

STELLA: Self-Evolving LLM Agent for Biomedical Research

STELLA is a self-evolving AI agent that improves through interaction, achieving high performance in biomedical tasks and driving experimental discoveries in oncology and protein engineering.