SMARTCyp 3.0: enhanced cytochrome P450 site-of-metabolism prediction server

Area of Science:

• Biochemistry
• Computational Chemistry
• Pharmacology

Background:

• Cytochromes P450 are critical drug-metabolizing enzymes.
• Accurate prediction of drug metabolism is vital for new drug development, reducing adverse reactions, and minimizing animal testing.

Purpose of the Study:

• To introduce SMARTCyp 3.0, an advanced web server for predicting drug metabolism sites.
• To enhance the prediction capabilities for Cytochrome P450-mediated metabolism.

Main Methods:

• SMARTCyp 3.0 utilizes a first-principles approach based on density functional theory.
• It employs calculated activation energies for over 250 molecules to identify metabolic hotspots.
• The updated version features a similarity measure, a new graphical interface, and expanded structural coverage.

Main Results:

• SMARTCyp 3.0 offers improved prediction of site-of-metabolism for Cytochrome P450 enzymes.
• The updated server in Python 3 provides increased structural coverage and new functionalities.
• New features enhance the accuracy and scope of metabolism prediction.

Conclusions:

• SMARTCyp 3.0 represents a significant advancement in predicting drug metabolism sites.
• The enhanced tool aids in efficient drug discovery and development.
• The freely available web server facilitates research in drug metabolism and safety.