CADD - Breadcrumbs
Welcome! This online resource is designed to provide students, researchers, and professionals with a comprehensive introduction to the fascinating field of Computer-Aided Drug Design (CADD). Here, you will find a wealth of information on the latest computational methods and tools used in drug discovery and development, as well as practical examples and case studies illustrating their application. Whether you are new to CADD or an experienced practitioner, this resource aims to equip you with the knowledge and skills needed to harness the power of computational approaches in the quest for new and improved medicines.
What is Breadcrumbs?
Education stands as a pivotal force in socioeconomic mobility. Yet, generational barriers outside of an individual's influence hinder a person's access to educational opportunities. Breadcrumbs represents OASCI's initiative to fundamentally transform access to educational materials, embodying the spirit of discovery and the sharing of knowledge fragments that have traditionally been accessible only through the goodwill of others. Breadcrumb websites are freely accessible resources, and we encourage contributions, improvements, and adaptations so long as they abide by the terms outlined in the CC BY-NC-SA 4.0 license.
Deploying
We use bump-my-version to release a new version. This will create a git tag that is used by poetry-dynamic-version to generate version strings.
However, we are using Calendar Versioning, meaning we need to specify new versions manually. For example, to bump the version to November 8, 2024, you would run the following command after activating the relevant conda environment.
After releasing a new version, you must push and include all tags.
License
Code contained in this project is released under the MIT License as specified in LICENSE_CODE.
This license grants you the freedom to use, modify, and distribute it as long as you include the original copyright notice contained in LICENSE_CODE and the following notice.
Portions of this code were incorporated with permission from CADD Breadcrumbs by OASCI licensed under the MIT license.
All other data, information, documentation, and associated content provided within this project are released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) as specified in LICENSE_INFO.
Some content was incorporated with permission from CADD Breadcrumbs by OASCI licensed under the CC BY-NC-SA 4.0 license
Web analytics
Why would we want to track website traffic?
An instructor can gain insights into how students engage with online teaching materials by analyzing web analytics. This information is instrumental in assessing the effectiveness of the materials. Web analytics reveal the popularity of specific topics or sections among students, empowering instructors to tailor future lectures or discussions. Analytics also provides valuable data for curriculum development, helping instructors identify trends, strengths, and weaknesses in course materials. Additionally, instructors may leverage web analytics as evidence of their commitment to continuous improvement in teaching methods, which is helpful in discussions related to professional development, promotions, or tenure.
We track website traffic using plausible, which is privacy-friendly, uses no cookies, and is compliant with GDPR, CCPA, and PECR. We also share this website's analytics with you for additional transparency.