Most drugs are metabolized by Cytochrome P450 enzymes, which are primarily found in the liver. These cytochromes, along with about thirty other enzymes, carry out biotransformations known as phase I reactions. Additionally, around twenty other enzymes are responsible for phase II reactions, which generally involve conjugation processes. While cytochromes are involved in most metabolic processes, there is growing interest in understanding the mechanisms of non-CYP metabolic reactions.
In MetaSite 7, there are 23 non-CYP phase I enzymes considered. Besides FMO3 and AOX1, which were already present in MetaSite 6, the list has been expanded to include eight families and their related isoforms. Furthermore, enzymes responsible for the main phase II conjugation reactions have also been added, covering 11 different families and 19 enzymes in total.
In addition to these new enzymes, the computational method used in MetaSite 7 is innovative. Predictions are based not only on the ligand’s reactivity-structure relationship but also heavily on a three-dimensional component. This component relies on the 3D structure of the enzyme and the ligand’s ability to interact with it, exposing the reactive group and facilitating the reaction mechanism.
MetaSite command-line execution is controlled through script files written in a simple declarative language, allowing for sequential command execution. This language provides flexibility similar to the graphical interface, enabling operations such as opening, saving, and manipulating MetaSite document files. Users can alternate between command-line and GUI execution, such as importing objects and performing calculations via the command line, then browsing results in the GUI. In MetaSite7, these options are expanded to include all non-CYP Phase I enzymes, Phase II enzymes, or a combined CYP -Phase I – Phase II process.
2024: Decoding phase I & II human drug metabolism using the prediction tool MetaSite for chemists, medicinal chemists, and metID experts.
Gabriele Cruciani, Jenny Desantis, Tommaso Palomba, Massimo Baroni, Aurora Valeri, Lydia Siragusa, Ludovico Venturi, Ismael Zamora, Christophe Meyer, Laurent Laboureur, Isin Emre, and Laura Goracci
Pharma – PREDICTION – Site Of Metabolism (SOM) Prediction
Articles:
- Structure-metabolism relationships in human- AOX: Chemical insights from a large database of aza-aromatic and amide compounds
- April 2018.Lepri S, Ceccarelli M, Milani N, Tortorella S, Cucco A, Valeri A, Goracci L, Brink A, Cruciani G
- From Experiments to a Fast Easy-to-Use Computational Methodology to Predict Human Aldehyde Oxidase Selectivity and Metabolic Reactions
- January 2018. Cruciani G, Milani N, Benedetti P, Lepri S, Cesarini L, Baroni M, Spyrakis F, Tortorella S, Mosconi E, Goracci L
- Software-aided cytochrome P450 reaction phenotyping and kinetic analysis in early drug discovery
- January 2016. Cece-Esencan EN; Fontaine F; Plasencia G; Teppner M; Brink A; Pähler A; Zamora I
- Flavin monooxygenase metabolism: why medicinal chemists should matter
- December 2014. Cruciani G, Valeri A, Goracci L, Pellegrino RM, Buonerba F, Baroni M
- Exposition and reactivity optimization to predict sites of metabolism in chemicals
- Spring 2013. Cruciani G, Baroni M, Benedetti P, Goracci L, Fortuna CG
- CYP2C9 Structure−Metabolism Relationships: Optimizing the Metabolic Stability of COX-2 Inhibitors
- August 2007. Ahlström MM, Ridderström M, Zamora I, Luthman K. J
- Comparison of methods for the prediction of the Metabolic sites for CYP3A4 – Mediated metabolic reactions
- June 2006. , , , , and
- MetaSite: Understanding Metabolism in Human Cytochromes from the Perspective of the Chemist
- September 2005. Cruciani G, Carosati E, De Boeck B, Ethirajulu K, Mackie C, Howe T, Vianello R
- Predicting drug metabolism: a site of metabolism prediction tool applied to the cytochrome P450 2C9
- June 2003. Zamora, Ismael; Afzelius, Lovisa; Cruciani, Gabriele