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Paper

Tuning artificial intelligence on the de novo design of natural-product-inspired retinoid X receptor modulators

by Independent / Community 0065ce8f1f5ce447e8cac27f352df6390ec8405b

Free2AITools Nexus Index

70.3

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 87

P: Popularity 64

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

Instances of artificial intelligence equip medicinal chemistry with innovative tools for molecular design and lead discovery. Here we describe a deep recurrent neural network for de novo design of new chemical entities that are inspired by pharmacologically active natural products. Natural product characteristics are incorporated into a deep neural network that has been trained on synthetic low molecular weight compounds. This machine-learning model successfully generates readily synthesizabl...

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Semantic Scholar 116 Citations

Paper Information Summary
Entity Passport
Registry ID	0065ce8f1f5ce447e8cac27f352df6390ec8405b
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{0065ce8f1f5ce447e8cac27f352df6390ec8405b,
  author = {Unknown},
  title = {Tuning artificial intelligence on the de novo design of natural-product-inspired retinoid X receptor modulators Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0065ce8f1f5ce447e8cac27f352df6390ec8405b}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Tuning artificial intelligence on the de novo design of natural-product-inspired retinoid X receptor modulators [Paper]. Free2AITools. https://api.semanticscholar.org/0065ce8f1f5ce447e8cac27f352df6390ec8405b

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 87

Popularity (P) 64

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Tuning artificial intelligence on the de novo design of natural-product-inspired retinoid X receptor modulators: Authority (A:87), Popularity (P:64), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"Instances of artificial intelligence equip medicinal chemistry with innovative tools for molecular design and lead discovery. Here we describe a deep recurrent neural network for de novo design of new chemical entities that are inspired by pharmacologically active natural products. Natural product characteristics are incorporated into a deep neural network that has been trained on synthetic low molecular weight compounds. This machine-learning model successfully generates readily synthesizabl..."

❝ Cite Node

@article{Unknown2026Tuning,
  title={Tuning artificial intelligence on the de novo design of natural-product-inspired retinoid X receptor modulators},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

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📊 Research Signals

📈116CitationsSemantic Scholar

🏛️87AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️text generationField

📦Data Source: semantic_scholar

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🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: 8,405
context length: null
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downloads: 0
stars: null
forks: null
citations: 116

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