
Professor in 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
Computational insights on the origin of enantioselectivity in reactions with diarylprolinol silyl ether catalysts via a radical pathway
– Organic Chemistry Frontiers
(2022)
9,
3730
(doi: 10.1039/d2qo00354f)
Correction: Computational insights on the origin of enantioselectivity in reactions with diarylprolinol silyl ether catalysts via a radical pathway
– Organic Chemistry Frontiers
(2022)
9,
4221
(doi: 10.1039/d2qo90045a)
N-Triflylphosphoramides: highly acidic catalysts for asymmetric transformations
– Organic and Biomolecular Chemistry
(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
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,
47013
(doi: 10.1289/ehp8495)
VRAI-selectivity: Calculation of selectivity beyond transition state theory
– Organic & Biomolecular Chemistry
(2021)
19,
3940
(doi: 10.1039/d1ob00234a)
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)
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