BGPT: Analyze Data: Compare benchmark MAE errors of NequIP MACE Allegro GemNet on OCP catalyst surfaces

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The supplied evidence records contain no data on machine-learning interatomic potentials (NequIP, MACE, Allegro, GemNet) or Open Catalyst Project (OCP) benchmark MAE errors — all provided records concern EGFR signaling, LDOC1, and NSCLC drug response. Therefore, a quantitative comparison of benchmark MAE errors on OCP catalyst surfaces cannot be performed from the supplied sources, and no values or graphs can be reported without fabricating data.

What is missing to complete this analysis: per-model MAE values (energy and forces) on OCP test splits (e.g., OC20/OC22), surface categories (adsorbate–surface combinations), training compute budgets, and evaluation protocol details. If you can supply the relevant papers or benchmark tables, a rigorous comparison with Plotly visualizations and a DataTables summary can be produced.

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Updated: October 27, 2026

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1. LDOC1 interacts with clathrin adaptors AP1M1 and AP2M1 to regulate EGFR internalization and recycling, modulating EGFR signaling and gefitinib response in EGFR-mutant NSCLC, with LDOC1 loss promoting RTK activation and gefitinib resistance while associating with poorer patient outcomes. [2024]

9QualityResults Limitations Context Blindspots Methods Sample Conflict Data

↗ Paper Review ↗ Full Paper

2. This study demonstrates that pSTAT3 transactivates EGFR to maintain EGFR protein homeostasis and contributes to resistance against EGFR tyrosine kinase inhibitors in non-small cell lung cancer cells. [2024]

8QualityResults Limitations Context Blindspots Methods Sample Conflict

↗ Paper Review ↗ Full Paper

3. This study investigates the relationship between EGFR gene copy number alterations and EGFR mutation status in lung adenocarcinoma, concluding that EGFR gene copy number as detected by SISH is not a reliable screening tool for selecting patients for EGFR mutation testing. [2014]

7QualityResults Limitations Context Blindspots Methods Sample Data

↗ Paper Review ↗ Full Paper

4. A comprehensive review of EGFR pathway alterations in NSCLC, detailing activating EGFR mutations, copy-number changes, downstream signaling, predictive biomarkers for EGFR-targeted therapies, and mechanisms of resistance, with emphasis on the need for integrated molecular stratification for personalized treatment. [2011]

8QualityResults Limitations Context Blindspots Methods Sample Conflict

↗ Paper Review ↗ Full Paper

5. The study shows that hepatitis C virus (and other enveloped viruses) upregulates host FUT8 to increase EGFR core fucosylation, activating EGFR-JAK1-STAT3 signaling that recruits Trim40 to promote RIG-I degradation and suppresses type I interferon responses, with FUT8 inhibition or hepatic Fut8 silencing reducing RNA viral replication in vitro and in vivo, revealing a viral immune evasion mechanism and potential antiviral target. [2024]

9QualityResults Limitations Context Blindspots Methods Sample Conflict Data

↗ Paper Review ↗ Full Paper

Keep Exploring

How do NequIP, MACE, Allegro, and GemNet differ in architecture-driven accuracy-versus-inference-speed trade-offs on OC20 force-prediction tasks?

Which OC20 evaluation metrics best predict downstream adsorption-energy ranking accuracy for catalyst screening workflows?

Science Movie

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Discussion

BGPT Bias

I may under-retrieve specialized ML-potential benchmarking literature when the supplied evidence layer contains none, and I refuse to fabricate plausible-looking MAE numbers.

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Analyze Reported Results With Sources

Work with exact reported values from papers, with provenance for every record.Know what the science actually supports before you trust the answer.

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1. LDOC1 interacts with clathrin adaptors AP1M1 and AP2M1 to regulate EGFR internalization and recycling, modulating EGFR signaling and gefitinib response in EGFR-mutant NSCLC, with LDOC1 loss promoting RTK activation and gefitinib resistance while associating with poorer patient outcomes. [2024]

2. This study demonstrates that pSTAT3 transactivates EGFR to maintain EGFR protein homeostasis and contributes to resistance against EGFR tyrosine kinase inhibitors in non-small cell lung cancer cells. [2024]

3. This study investigates the relationship between EGFR gene copy number alterations and EGFR mutation status in lung adenocarcinoma, concluding that EGFR gene copy number as detected by SISH is not a reliable screening tool for selecting patients for EGFR mutation testing. [2014]

6. Src-mediated phosphorylation of CIN85 after EGF stimulation promotes CIN85 binding to the E3 ligase c-Cbl, enhancing EGFR ubiquitination and sorting into multivesicular bodies for degradation, whereas preventing CIN85 phosphorylation traps EGFR in early endosomes and delays degradation. [2012]

12. This narrative review argues that EGFR-mutated NSCLC has an immunosuppressive tumor microenvironment, low TMB, altered PD-L1/CD8/Treg/TAM features, and immunotherapy resistance, supporting combined TKI/immunotherapy and inflammation-targeting strategies. [2022]

Ask a Follow-Up

Keep Exploring

How do NequIP, MACE, Allegro, and GemNet differ in architecture-driven accuracy-versus-inference-speed trade-offs on OC20 force-prediction tasks?

Which OC20 evaluation metrics best predict downstream adsorption-energy ranking accuracy for catalyst screening workflows?

Science Movie

Make a narrated HD Science movie for this answer ($32 per minute)

Discussion

BGPT Bias

I may under-retrieve specialized ML-potential benchmarking literature when the supplied evidence layer contains none, and I refuse to fabricate plausible-looking MAE numbers.

Stay current without chasing every paper.

My BGPT

Trending

Analyze Reported Results With Sources

Work with exact reported values from papers, with provenance for every record.Know what the science actually supports before you trust the answer.

Explore by Goal

Long Analysis Plan Copied

Top Data Sources ExportMCP

1. LDOC1 interacts with clathrin adaptors AP1M1 and AP2M1 to regulate EGFR internalization and recycling, modulating EGFR signaling and gefitinib response in EGFR-mutant NSCLC, with LDOC1 loss promoting RTK activation and gefitinib resistance while associating with poorer patient outcomes. [2024]

2. This study demonstrates that pSTAT3 transactivates EGFR to maintain EGFR protein homeostasis and contributes to resistance against EGFR tyrosine kinase inhibitors in non-small cell lung cancer cells. [2024]

3. This study investigates the relationship between EGFR gene copy number alterations and EGFR mutation status in lung adenocarcinoma, concluding that EGFR gene copy number as detected by SISH is not a reliable screening tool for selecting patients for EGFR mutation testing. [2014]

6. Src-mediated phosphorylation of CIN85 after EGF stimulation promotes CIN85 binding to the E3 ligase c-Cbl, enhancing EGFR ubiquitination and sorting into multivesicular bodies for degradation, whereas preventing CIN85 phosphorylation traps EGFR in early endosomes and delays degradation. [2012]

12. This narrative review argues that EGFR-mutated NSCLC has an immunosuppressive tumor microenvironment, low TMB, altered PD-L1/CD8/Treg/TAM features, and immunotherapy resistance, supporting combined TKI/immunotherapy and inflammation-targeting strategies. [2022]

Ask a Follow-Up

Keep Exploring

How do NequIP, MACE, Allegro, and GemNet differ in architecture-driven accuracy-versus-inference-speed trade-offs on OC20 force-prediction tasks?

Which OC20 evaluation metrics best predict downstream adsorption-energy ranking accuracy for catalyst screening workflows?

Science Movie

Make a narrated HD Science movie for this answer ($32 per minute)

Discussion

BGPT Bias

I may under-retrieve specialized ML-potential benchmarking literature when the supplied evidence layer contains none, and I refuse to fabricate plausible-looking MAE numbers.

Stay current without chasing every paper.

My BGPT

Trending

Top Data Sources Export MCP