The Era of Machine Learning for Protein Design, Summarized in Four Key Methods
Never such exciting times for protein biotech, thanks to these methods and tools based in artificial intelligence- 22527Murphy ≡ DeepGuide
Logistic Regression: Deceptively Flawed
When can large odds ratios and perfectly separated data bite you?- 23195Murphy ≡ DeepGuide
Two New Papers Analyze in Detail the Protein Universe Unveiled by AlphaFold 2's 200 Million Mo
And they had to create new tools to handle such large volume of protein structural models- 29367Murphy ≡ DeepGuide
How Simple Numerical Integration Can Make Your Life Easier in Equation Modeling Tasks
Simulations and numerical modeling In the mathematics of natural sciences, engineering, and economics, the art of numerical integration serves as a powerful tool for describing the behavior of dynamic systems over time. The technique has a huge number of- 29111Murphy ≡ DeepGuide
Google's AI Companies Strike Again: AlphaFold 3 Now Spans Even More of Structural Biology
Deepmind and Isomorphic labs just published a new paper that applies new AI concepts and methods to create a new tool that promises to be...- 21604Murphy ≡ DeepGuide
Why the 2024 Nobel Prize in (AI for) Chemistry Matters So Much
To Demis Hassabis and John Jumper, from DeepMind, and to David Baker, leader of the Institute for Protein Design- 27901Murphy ≡ DeepGuide
Epic "Crossover" Between AlphaFold 3 and GPT-4o's Knowledge of Protein Data Bank E
Exploring how GPT-4o's knowledge of the Protein Data Bank coupled to systems like AlphaFold 3 could allow for new ways to search and study...- 23564Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag