ReviewChemphyschem : a European journal of chemical physics and physical chemistry2020
Chemistry in Times of Artificial Intelligence.
Review in Chemphyschem : a European journal of chemical physics and physical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed.
- From molecules to data: the emerging impact of chemoinformatics in chemistry.Journal of cheminformatics · 2025Review
- Growth vs Diversity: A Time-Evolution Analysis of the Chemical Space.Journal of chemical information and modeling · 2025Article
- Cheminformatics Approaches to the Analysis of Additives for Sustainable Polymeric Materials.Polymers · 2025Article
- Article
- RETRACTED: A novel spectral transformation technique based on special functions for improved chest X-ray image classification.PloS one · 2025Article
- Deepmol: an automated machine and deep learning framework for computational chemistry.Journal of cheminformatics · 2024Article
- Automation and machine learning augmented by large language models in a catalysis study.Chemical science · 2024Review
- Explainable chemical artificial intelligence from accurate machine learning of real-space chemical descriptors.Nature communications · 2024Article
- An Unsupervised Machine Learning Approach for the Automatic Construction of Local Chemical Descriptors.Journal of chemical information and modeling · 2024Article
- The pursuit of accurate predictive models of the bioactivity of small molecules.Chemical science · 2024Review
- Enhancing the Evidence with Algorithms: How Artificial Intelligence Is Transforming Forensic Medicine.Diagnostics (Basel, Switzerland) · 2023Review
- Double-head transformer neural network for molecular property prediction.Journal of cheminformatics · 2023Article
- AI-Assisted Fusion of Scanning Electrochemical Microscopy Images Using Novel Soft Probe.ACS measurement science au · 2022Article
- Chemoinformatics and artificial intelligence colloquium: progress and challenges in developing bioactive compounds.Journal of cheminformatics · 2022Article
- Composition-driven archetype dynamics in polyoxovanadates.Chemical science · 2022Article
- Progress on open chemoinformatic tools for expanding and exploring the chemical space.Journal of computer-aided molecular design · 2022Article
- Knowledge-based approaches to drug discovery for rare diseases.Drug discovery today · 2022Review
- Ethical Artificial Intelligence in Chemical Research and Development: A Dual Advantage for Sustainability.Science and engineering ethics · 2021Article
- Computational Approaches for the Discovery and Development of Pharmacologically Active Natural Products.Biomolecules · 2021Article
- Rationality over fashion and hype in drug design.F1000Research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chemists have to a large extent gained their knowledge by doing experiments and thus gather data. By putting various data together and then analyzing them, chemists have fostered their understanding of chemistry. Since the 1960s, computer methods have been developed to perform this process from data to information to knowledge. Simultaneously, methods were developed for assisting chemists in solving their fundamental questions such as the prediction of chemical, physical, or biological properties, the design of organic syntheses, and the elucidation of the structure of molecules. This eventually led to a discipline of its own: chemoinformatics. Chemoinformatics has found important applications in the fields of drug discovery, analytical chemistry, organic chemistry, agrichemical research, food science, regulatory science, material science, and process control. From its inception, chemoinformatics has utilized methods from artificial intelligence, an approach that has recently gained more momentum.
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.