ModulAAR
Racemization of amino acids is a crucial process in geochronological dating and the study of ancient proteins.
ModulAAR, is an empirical model designed to simulate amino acid racemization kinetics over geological timescales.
Unlike previous models that often relied on first-order kinetics and complex parameter sets, ModulAAR employs second-order kinetics to account for the critical role of water concentration in hydrolysis and racemization processes.
The model distinguishes between internal, terminal, and free amino acids, simulating their hydrolysis, racemization, and decomposition using differential equations.
A key feature of ModulAAR is its integration of water dynamics, where water availability directly influences reaction rates, reflecting the slowing of hydrolysis in closed systems. This study provides a comprehensive overview of the model's development, calibration, and validation against empirical data, highlighting its potential to offer more accurate and widely applicable insights into amino acid racemization for geochronology and palaeoproteomics. Through the implementation of this model, we aim to enhance the understanding of protein diagenesis and improve the reliability of racemization-based dating techniques.
Privacy Policy for ModulAAR
Effective Date: 14 July 2024
Introduction
Information Collection and Use
No Collection of Personal Data
ModulAAR does not collect, store, or process any personal data from its users. When you use ModulAAR via Google Colab, all operations are performed locally within your session, and no data is transmitted to or from external servers controlled by ModulAAR.
No Tracking Technologies
We do not use cookies, web beacons, or other tracking technologies to collect information about your online activity or device usage.
Third-Party Services
ModulAAR is hosted on Google Colab, which is a third-party service provided by Google. Please refer to Google’s privacy policy to understand how they handle your data. ModulAAR does not share any data with Google or other third parties beyond what is inherently handled by Google Colab as part of its operational framework.
Data Security
While ModulAAR does not collect personal data, we are committed to ensuring the security of the processes it performs. Google Colab provides robust security measures to protect the integrity and confidentiality of your data during your session.
Changes to This Privacy Policy
We may update our Privacy Policy from time to time. Any changes will be posted on this page with an updated effective date. We encourage you to review this Privacy Policy periodically for any changes.