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

Rapid Route-Finding for Bifurcating Organic Reactions
S Lee, JM Goodman
Journal of the American Chemical Society
(2020)
142
Charge-Assisted phosph(v)azane anion receptors
AJ Plajer, S Lee, AD Bond, JM Goodman, DS Wright
Dalton Trans
(2020)
49
DP4-AI automated NMR data analysis: straight from spectrometer to structure.
A Howarth, K Ermanis, JM Goodman
Chemical science
(2020)
11
Quantitative Predictions for Molecular Initiating Events Using Three-Dimensional Quantitative Structure–Activity Relationships
TEH Allen, JM Goodman, S Gutsell, PJ Russell
Chemical Research in Toxicology
(2020)
33
DP4-AI Automated NMR Data Analysis: Straight from Spectrometer to Structure
A Howarth, K Ermanis, J Goodman
chemrxiv
(2020)
DP4-AI Automated NMR Data Analysis: Straight from Spectrometer to Structure
A Howarth, K Ermanis, J Goodman
Chemical Science
(2020)
Towards the Total Synthesis of Hemicalide: Synthesis of the C27-C46 Region
TP Stockdale, BY Han, NYS Lam, JM Goodman, I Paterson
MARINE DRUGS
(2020)
18
Structural Alerts and Random Forest Models in a Consensus Approach for Receptor Binding Molecular Initiating Events.
AJ Wedlake, M Folia, S Piechota, TEH Allen, JM Goodman, S Gutsell, PJ Russell
Chemical research in toxicology
(2019)
33
Guest Binding via N−H⋅⋅⋅π Bonding and Kinetic Entrapment by an Inorganic Macrocycle
AJ Plajer, FJ Rizzuto, H Niu, S Lee, JM Goodman, DS Wright
Angewandte Chemie
(2019)
131
The optimal DFT approach in DP4 NMR structure analysis – pushing the limits of relative configuration elucidation
K Ermanis, KEB Parkes, T Agback, JM Goodman
Organic & Biomolecular Chemistry
(2019)
17

Research Group

Research Interest Groups

Telephone number

01223 336434

Email address

College