What AI says about Chemprop

Part of Carnegie Mellon University

Since Jul 5Updated Nov 2, 2026Based on 10,821 AI responsesReviewed by Dimitry Apollonsky

chemprop.cs.cmu.edu

Carnegie Mellon University<1%

Products

ChempropThis page<1%
Tepper School of Business at Carnegie Mellon University<1%
TechBridge Coding Bootcamp<1%

Mentioned in

<1%

of AI answers about Chemprop and its rivals

ChatGPT<1%
Google AI Mode<1%

Questions and answers

AI picks mostMentioned in
What's the best AI tool to design small molecules with better predicted potency?on this questionAI picks Insilico Medicine and 1 more about as often15%
Excerpts where Chemprop appeared in the AI's answer
ChatGPTSep 6, 2026, ChatGPT
Chemprop — excellent for predicting activity, potency, and ADMET endpoints if you have your own assay data.
Google AI ModeAug 9, 2026, Google AI Mode
Chemprop (the machine learning package for molecular property prediction using message-passing neural networks) is widely regarded as a top open-source framework.
We want to model toxicity and safety earlier in drug development. Which AI platforms are credible?on this questionAI picks Certara and 2 more about as often7%
Excerpts where Chemprop appeared in the AI's answer
Google AI ModeAug 5, 2026, Google AI Mode
Chemprop / Open-Source Graph Neural Networks : For teams with internal data science capabilities, message-passing neural networks and Graph Neural Networks (GNNs) like Chemprop serve as an industry gold standard baseline.
I am planning to use AI for material science. Who offers models trained on chemical properties?on this questionAI picks Schrödinger most5%
Our lab wants AI to propose molecules, design experiments, and learn from results. What discovery engines should we evaluate?on this questionAI picks Insilico Medicine and 1 more about as often2%
Excerpts where Chemprop appeared in the AI's answer
Google AI ModeSep 16, 2026, Google AI Mode
It allows you to plug in custom scoring functions (using RDKit, Chemprop, or your own QSAR models) to reward the AI for proposing molecules with your specific target properties.

Chemprop in AI answers

Question: Our lab wants AI to propose molecules, design experiments, and learn from results. What discovery engines should we evaluate?

Google AI ModeSep 16, 2026

It allows you to plug in custom scoring functions (using RDKit, Chemprop, or your own QSAR models) to reward the AI for proposing molecules with your specific target properties.

Question: What's the best AI tool to design small molecules with better predicted potency?

ChatGPTSep 6, 2026

Chemprop — excellent for predicting activity, potency, and ADMET endpoints if you have your own assay data.

Google AI ModeAug 9, 2026

Chemprop (the machine learning package for molecular property prediction using message-passing neural networks) is widely regarded as a top open-source framework.

Sources AI cites

The page AI cites most for Chemprop

pubmed.ncbi.nlm.nih.gov/38147829Chemprop: A Machine Learning Package for Chemical Property Prediction3%of answers

Check it mentions Chemprop and gets the details right.