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Robert P. Sheridan

Researcher / author (OpenAlex)
Person academia

Facts

2 properties
Instance of
human[2]
Affiliation
Merck & Co., Institute of Computational Modelingas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
ORCID iD
0000-0002-6549-1635
OpenAlex ID
A5082475080as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 12
Building Quantitative Structure–Activity Relationship Models Using Bayesian Additive Regression Trees, Debunking the Idea that Ligand Efficiency Indices Are Superior to pIC50 as QSAR Activities, Deep Dive into Machine Learning Models for Protein Engineering, Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships, Demystifying Multitask Deep Neural Networks for Quantitative Structure–Activity Relationships, Experimental Error, Kurtosis, Activity Cliffs, and Methodology: What Limits the Predictivity of Quantitative Structure–Activity Relationship Models?, Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships, Interpretation of QSAR Models by Coloring Atoms According to Changes in Predicted Activity: How Robust Is It? +4 more
← Authored by 12
Building Quantitative Structure–Activity Relationship Models Using Bayesian Additive Regression Trees, Debunking the Idea that Ligand Efficiency Indices Are Superior to pIC50 as QSAR Activities, Deep Dive into Machine Learning Models for Protein Engineering, Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships, Demystifying Multitask Deep Neural Networks for Quantitative Structure–Activity Relationships, Experimental Error, Kurtosis, Activity Cliffs, and Methodology: What Limits the Predictivity of Quantitative Structure–Activity Relationship Models?, Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships, Interpretation of QSAR Models by Coloring Atoms According to Changes in Predicted Activity: How Robust Is It? +4 more
Affiliated with 1
Merck & Co.
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Summary

Robert P. Sheridan is a human[1].

Related Entities

Merck & Co.

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Robert P. Sheridan. Retrieved October 25, 2026, from https://4ort.xyz/entity/robert-p-sheridan
MLA “Robert P. Sheridan.” 4ort.xyz Knowledge Graph, 4ort.xyz, 25 Oct. 2026, https://4ort.xyz/entity/robert-p-sheridan.
BibTeX @misc{4ortxyz_robert-p-sheridan_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robert P. Sheridan}}, year = {2026}, url = {https://4ort.xyz/entity/robert-p-sheridan}, note = {Accessed: 2026-10-25}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robert P. Sheridan — https://4ort.xyz/entity/robert-p-sheridan (retrieved 2026-10-25)

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