Posts about

Machine Learning

Demystifying Protein Structure Prediction Models: AlphaFold, RosettaFold, ESMFold and beyond

The purpose of this blog post is to provide an introduction to protein structure prediction models,...

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The Complexity of Data in Machine Learning for Drug Discovery

Machine Learning (ML) pipelines are characterized by their multi-component iterative lifecycle,...

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Optimization process in artificial neural networks

To become better at a task, supervised machine learning (ML) methods need to get feedback about...

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Machine Learning - Groups are collections of similar individuals

Did you notice in a conference room or event, people are grouped based on their similarities? They...

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Machine Learning - Less is enough

We don’t need to know everything for decision-making. When doctors assess if a patient is obese or...

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Quantum Computing in Drug Discovery: Myth and Reality

What is quantum computing?

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Machine Learning: Learning beyond living things

Industrial revolutions throughout history can be defined as pivotal stages in an advancing society,...

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My Experience Building a Predictive Model to Limit hERG Liabilities

Since joining Cyclica nearly two years ago, I’ve conducted several R&D projects investigating and...

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Discarding information to make predictions: Thoughts on how to predict drug properties robustly

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Predicting Drug Target Interactions: Advances and Pitfalls

 

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