Item - RXNGraphormer Reproduction - figshare - Figshare
majian zeng
2025
2025/10/31
Ireland, Dublin
figshare
CC BY 4.0

数据描述

Item - RXNGraphormer Reproduction - figshare - Figshare

Supporting Repository for Reproducibility StudyThis repository provides comprehensive resources for reaction prediction model reproduction studies:Preprocessed External Validation Datasets: Including literature-derived reaction sets (Sulfoxonium Ylide, Meta-C–H Functionalization, Amide Coupling). Fine-Tuned Model Checkpoints: Task-specific models (yield prediction, selectivity analysis, forward/retrosynthetic prediction) trained using the original RXNGraphormer framework, containing weights and configuration files.Training Logs & Evaluation Outputs: Complete experimental records ensuring full reproducibility.Evaluation Datasets in Test_Data Folder1. Sulfoxonium Ylide DatasetReference: Lin et al., Sci. China Chem. 68, 679–686 (2025)Description: Contains high-throughput experimentation (HTE) data for Ru-catalyzed P(O)O–H insertion reactions of sulfoxonium ylides. Features:Broad substrate scope and reaction condition coverageWell-characterized α-phosphoryloxy ketone productsExperimentally validated yield measurements2. Meta-C–H Functionalization DatasetReference: Selective functionalization of hindered meta-C–H bond of o-alkylaryl ketones, Chem (2022)Description: Automated synthesis-derived dataset for meta-selective C–H functionalization of o-alkylaryl ketones. Key characteristics:Sterically hindered substratesDiverse coupling partnersChallenging selectivity prediction benchmark3. Amide Coupling Reaction HTE DatasetReference: Zhang et al., ChemRxiv (2025)Description: Machine-guided HTE dataset of amide couplings with:High-precision yield measurementsUnbiased sampling strategy (minimal selection bias)Enhanced chemical space coverage4. Amide Coupling Literature DatasetDescription: Systematically curated collection of recent (past three years) amide coupling reactions from peer-reviewed literature. Features:Comprehensive reagent system coverageDiverse functional groups and substrate architecturesIndependent benchmark for model generalization capability

关键词

4
model weightsOrganic ChemistryAI4scienceCheminformatics

学科分类

3
Cheminformatics and quantitative structure-activity relationshipsPhysical organic chemistryOrganic chemical synthesis

数据列表

13

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DOI: 10.6084/M9.FIGSHARE.30498368.V2
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相关论文

1

Reusability report: Assessment of reproducibility and applicability to external datasets for RXNGraphormer

Chonghuan ZhangMajian ZengQianghua LinKuangbiao Liao
Nature Machine Intelligence
2026
2026/6/10
00 p.1-9
Deep learning has substantially advanced reaction-yield prediction and synthesis-planning methodologies, yet achieving a unified architecture capable of transferring across these tasks remains a central challenge in chemical machine learning. Xu et al. recently developed RXNGraphormer, which combine...
CheminformaticsComputational science
10.1038/S42256-026-01257-1
ISSN:2522-5839