ArticleiScience2021
PaccMann
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed.
- Soft Computing Approaches toward Density-Based Analysis of Many-Electron Systems.ACS physical chemistry Au · 2026Review
- Impact of molecular multimodality on neural network models for prediction tasks related to drug discovery.Nature communications · 2026Article
- Application of Reinforcement Learning Techniques in De Novo Drug Design: A Systematic Literature Review.Health science reports · 2026Article
- Transcriptome-conditioned molecule generation via gene interaction-aware fragment modeling with a GPT-based architecture.Scientific reports · 2025Article
- Artificial intelligence in bioinformatics: a survey.Briefings in bioinformatics · 2025Review
- A genotype-to-drug diffusion model for generation of tailored anti-cancer small molecules.Nature communications · 2025Article
- New horizons at the interface of artificial intelligence and translational cancer research.Cancer cell · 2025Review
- Drug molecular representations for drug response predictions: a comprehensive investigation via machine learning methods.Scientific reports · 2025Article
- Computer-aided Drug Discovery Approaches in the Identification of Anticancer Drugs from Natural Products: A Review.Current computer-aided drug design · 2025Review
- The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges.Molecular therapy. Nucleic acids · 2024Review
- TransGEM: a molecule generation model based on Transformer with gene expression data.Bioinformatics (Oxford, England) · 2024Article
- GLDM: hit molecule generation with constrained graph latent diffusion model.Briefings in bioinformatics · 2024Article
- Machine Learning Empowering Drug Discovery: Applications, Opportunities and Challenges.Molecules (Basel, Switzerland) · 2024Review
- A Reinforcement Learning Framework to Discover Natural Flavor Molecules.Foods (Basel, Switzerland) · 2023Article
- Machine learning approaches to predict drug efficacy and toxicity in oncology.Cell reports methods · 2023Review
- Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Potent antibiotic design via guided search from antibacterial activity evaluations.Bioinformatics (Oxford, England) · 2023Article
- Leveraging molecular structure and bioactivity with chemical language models for de novo drug design.Nature communications · 2023Article
- MonoNet: enhancing interpretability in neural networks via monotonic features.Bioinformatics advances · 2023Article
- Predicting chemical structure using reinforcement learning with a stack-augmented conditional variational autoencoder.Journal of cheminformatics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the advent of deep generative models in computational chemistry,
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.