amino acid
PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics
The field of proteomics aims to study and understand the complex landscape of proteins present within a biological system.
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MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering Yizhen Luo
Studying protein mutations within amino acid sequences holds tremendous significance in life sciences.
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Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
Predicting the effects of protein mutations is crucial for analyzing protein functions and understanding genetic diseases.
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Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra
John T. Halloran, David M. Rocke
The most widely used technology to identify the proteins present in a complex biological sample istandem mass spectrometry,which quickly produces alarge collection of spectra representative of thepeptides (i.e., protein subsequences) present in the original sample.
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