Professor of Chemistry
We use chemical informatics, computational chemistry, machine learning and AI to investigate molecules and to discover more about their structure, reactivity, analytical data and properties.

(Full list of publications)
Professor Goodman discusses his research
Publications
N-Triflylphosphoramides: highly acidic catalysts for asymmetric transformations.
Org Biomol Chem
(2021)
19
9565
(doi: 10.1039/d1ob01708j)
Mechanistically driven identification of novel structural alerts for mitochondrial toxicity
Computational Toxicology
(2021)
20
100183
(doi: 10.1016/j.comtox.2021.100183)
Use of chemical informatics, quantum chemistry modelling and artificial intelligence algorithms to predict molecular initiating events
TOXICOLOGY LETTERS
(2021)
350
S17
(doi: 10.17863/CAM.79048)
Use of chemical informatics, quantum chemistry modelling and artificial intelligence algorithms to predict molecular initiating events
Toxicology Letters
(2021)
350
S17
InChI version 1.06: now more than 99.99% reliable
Journal of Cheminformatics
(2021)
13
40
(doi: 10.1186/s13321-021-00517-z)
CATMoS: Collaborative Acute Toxicity Modeling Suite.
Environmental health perspectives
(2021)
129
047013
(doi: 10.1289/EHP8495)
VRAI-selectivity: calculation of selectivity beyond transition state theory.
Organic & Biomolecular Chemistry
(2021)
19
3940
(doi: 10.1039/d1ob00234a)
Machine Learning in Predictive Toxicology: Recent Applications and Future Directions for Classification Models
Chem Res Toxicol
(2020)
34
217
Confidence in Inactive and Active Predictions from Structural Alerts.
Chem Res Toxicol
(2020)
33
3010
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