What does the term 'HMMs' refer to in the context of protein function prediction?
Understand the Problem
The question is asking for the meaning of the term 'HMMs' specifically related to protein function prediction, which likely involves discussing what HMMs are and how they are used in computational biology for this purpose.
Answer
HMMs are Hidden Markov Models used for protein function prediction.
HMMs refer to Hidden Markov Models, which are extensively used in biological sequence analysis, particularly for predicting protein functions such as homology detection and sequence alignment.
Answer for screen readers
HMMs refer to Hidden Markov Models, which are extensively used in biological sequence analysis, particularly for predicting protein functions such as homology detection and sequence alignment.
More Information
Hidden Markov Models (HMMs) are a statistical tool used to model biological sequences, often for identifying functional motifs and predicting protein functions by comparing sequence similarities.
Tips
A common mistake is confusing HMMs with neural networks or assuming they predict protein 3D structures rather than sequences.
Sources
- Hidden Markov Models and their Applications in Biological ... - pmc.ncbi.nlm.nih.gov
- Protein homology detection by HMM–HMM comparison - academic.oup.com
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