arXiv (All)
open access
ProteinGeoBench: Frontier Structural-Biology Agents Are Fluent at Lookup but Lost in Geometry
Frontier agents retrieve structural metadata well and compute geometry from coordinates less reliably. We ask how much of a benchmark score reflects that gap and how much reflects the evaluation configuration around the model. We study ProteinGeoBench, a suite of 131 protein-structure tasks, using 4
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ProteinGeoBench: Frontier Structural-Biology Agents Are Fluent at Lookup but Lost in Geometry#1381226
- Agentic BAIM-LLM Evaluation (ABLE): Benchmarking LLM Use of Protein Design Tools#973443
- Unveiling Large-Scale Kinase-Centric Protein–Protein Interactions through a Knowledge-Informed Workflow#353663
- Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling#1083149
- Benchmarking AI-driven protocols for cyclic peptide conformer prediction and ranking.#1329790
Record · ID 1402077
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive