Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction.
Aleix LafitaFerran GonzalezMahmoud HossamPaul SmythJacob DeasyAri Allyn-FeuerDaniel SeatonStephen YoungPublished in: CoRR (2024)
Keyphrases
- language model
- fine tuning
- language modeling
- subcellular localization
- n gram
- protein structure prediction
- document retrieval
- contact map
- probabilistic model
- information retrieval
- speech recognition
- retrieval model
- prediction accuracy
- statistical language models
- language modelling
- test collection
- viable alternative
- query expansion
- fine tuned
- protein structure
- ad hoc information retrieval
- smoothing methods
- okapi bm
- document ranking
- context sensitive
- relevance model
- language models for information retrieval
- language model for information retrieval
- spoken term detection
- translation model
- protein protein interactions
- vector space model
- protein sequences
- hidden markov models