AAV Prediction
Collection
This group contains all relative training datasets and model checkpoints trained on these datasets for AAV Prediction.
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2 items
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Updated
seq
stringlengths 1.04k
1.04k
| fitness
float64 -10.22
9.54
| mut_info
stringlengths 5
11
| stage
stringclasses 1
value |
|---|---|---|---|
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G#A#D#G#V#G#N#S#S#G#N#W#H#C#D#S#T#W#M#G#D#R#V#I#T#T#S#T#R#T#W#A#L#P#T#Y#N#N#H#L#Y#K#Q#I#S#S#Q#S#G#A#S#N#D#N#H#Y#F#G#Y#S#T#P#W#G#Y#F#D#F#N#R#F#H#C#H#F#S#P#R#D#W#Q#R#L#I#N#N#N#W#G#F#R#P#K#R#L#N#F#K#L#F#N#I#Q#V#K#E#V#T#Q#N#D#G#T#T#T#I#A#N#N#L#T#S#T#V#Q#V#F#T#D#S#E#Y#Q#L#P#Y#V#L#G#S#A#H#Q#G#C#L#P#P#F#P#A#D#V#F#M#V#P#Q#Y#G#Y#L#T#L#N#N#G#S#Q#A#V#G#R#S#S#F#Y#C#L#E#Y#F#P#S#Q#M#L#R#T#G#N#N#F#T#F#S#Y#T#F#E#D#V#P#F#H#S#S#Y#A#H#S#Q#S#L#D#R#L#M#N#P#L#I#D#Q#Y#L#Y#Y#L#S#R#T#N#T#P#S#G#T#T#T#Q#S#R#L#Q#F#S#Q#A#G#A#S#D#I#R#D#Q#S#R#N#W#L#P#G#P#C#Y#R#Q#Q#R#V#S#K#T#S#A#D#N#N#N#S#E#Y#S#W#T#G#A#T#K#Y#H#L#N#G#R#D#S#L#V#N#P#G#P#A#M#A#S#H#K#D#D#E#E#K#F#F#P#Q#S#G#V#L#I#F#G#K#Q#G#S#E#K#T#N#V#D#I#E#K#V#M#I#T#A#E#A#E#I#R#T#T#N#P#V#A#T#E#Q#Y#G#S#V#S#T#N#L#Q#R#G#N#R#Q#A#A#T#A#D#V#N#T#Q#G#V#L#P#G#M#V#W#Q#D#R#D#V#Y#L#Q#G#P#I#W#A#K#I#P#H#T#D#G#H#F#H#P#S#P#L#M#G#G#F#G#L#K#H#P#P#P#Q#I#L#I#K#N#T#P#V#P#A#N#P#S#T#T#F#S#A#A#K#F#A#S#F#I#T#Q#Y#S#T#G#Q#V#S#V#E#I#E#W#E#L#Q#K#E#N#S#K#R#W#N#P#E#I#Q#Y#T#S#N#Y#N#K#S#V#N#V#D#F#T#V#D#T#N#G#V#Y#S#E#P#R#P#I#G#T#R#Y#L#T#R#N#L# | -1.249723 | D345A:E347A | train |
G#A#D#G#V#G#N#S#S#G#N#W#H#C#D#S#T#W#M#G#D#R#V#I#T#T#S#T#R#T#W#A#L#P#T#Y#N#N#H#L#Y#K#Q#I#S#S#Q#S#G#A#S#N#D#N#H#Y#F#G#Y#S#T#P#W#G#Y#F#D#F#N#R#F#H#C#H#F#S#P#R#D#W#Q#R#L#I#N#N#N#W#G#F#R#P#K#R#L#N#F#K#L#F#N#I#Q#V#K#E#V#T#Q#N#D#G#T#T#T#I#A#N#N#L#T#S#T#V#Q#V#F#T#D#S#E#Y#Q#L#P#Y#V#L#G#S#A#H#Q#G#C#L#P#P#F#P#A#D#V#F#M#V#P#Q#Y#G#Y#L#T#L#N#N#G#S#Q#A#V#G#R#S#S#F#Y#C#L#E#Y#F#P#S#Q#M#L#R#T#G#N#N#F#T#F#S#Y#T#F#E#D#V#P#F#H#S#S#Y#A#H#S#Q#S#L#D#R#L#M#N#P#L#I#D#Q#Y#L#Y#Y#L#S#R#T#N#T#P#S#G#T#T#T#Q#S#R#L#Q#F#S#Q#A#G#A#S#D#I#R#D#Q#S#R#N#W#L#P#G#P#C#Y#R#Q#Q#R#V#S#K#T#S#A#D#N#N#N#S#E#Y#S#W#T#G#A#T#K#Y#H#L#N#G#R#D#S#L#V#N#P#G#P#A#M#A#S#H#K#D#D#E#E#K#F#F#P#Q#S#G#V#L#I#F#G#K#Q#G#S#E#K#T#N#V#D#I#E#K#V#M#I#T#A#E#D#E#I#R#T#T#N#P#V#A#T#E#Q#Y#G#S#V#S#T#N#L#Q#R#G#N#R#Q#A#A#T#A#D#V#N#T#Q#G#V#L#P#G#M#V#W#Q#D#R#D#V#Y#L#Q#G#P#I#W#A#K#I#P#H#T#D#G#H#F#H#P#S#P#L#M#G#G#F#G#L#K#H#P#P#P#Q#I#L#I#K#N#T#P#V#P#A#N#P#S#T#T#F#S#A#A#K#F#A#S#F#I#T#Q#Y#S#T#G#Q#V#S#V#E#I#E#W#E#L#Q#K#E#N#S#K#R#W#N#P#E#I#Q#Y#T#S#N#Y#N#K#S#V#N#V#D#F#T#V#D#T#N#G#V#Y#S#E#P#R#P#I#G#T#R#Y#L#T#R#N#L# | 0.270069 | D345A:E347D | train |
G#A#D#G#V#G#N#S#S#G#N#W#H#C#D#S#T#W#M#G#D#R#V#I#T#T#S#T#R#T#W#A#L#P#T#Y#N#N#H#L#Y#K#Q#I#S#S#Q#S#G#A#S#N#D#N#H#Y#F#G#Y#S#T#P#W#G#Y#F#D#F#N#R#F#H#C#H#F#S#P#R#D#W#Q#R#L#I#N#N#N#W#G#F#R#P#K#R#L#N#F#K#L#F#N#I#Q#V#K#E#V#T#Q#N#D#G#T#T#T#I#A#N#N#L#T#S#T#V#Q#V#F#T#D#S#E#Y#Q#L#P#Y#V#L#G#S#A#H#Q#G#C#L#P#P#F#P#A#D#V#F#M#V#P#Q#Y#G#Y#L#T#L#N#N#G#S#Q#A#V#G#R#S#S#F#Y#C#L#E#Y#F#P#S#Q#M#L#R#T#G#N#N#F#T#F#S#Y#T#F#E#D#V#P#F#H#S#S#Y#A#H#S#Q#S#L#D#R#L#M#N#P#L#I#D#Q#Y#L#Y#Y#L#S#R#T#N#T#P#S#G#T#T#T#Q#S#R#L#Q#F#S#Q#A#G#A#S#D#I#R#D#Q#S#R#N#W#L#P#G#P#C#Y#R#Q#Q#R#V#S#K#T#S#A#D#N#N#N#S#E#Y#S#W#T#G#A#T#K#Y#H#L#N#G#R#D#S#L#V#N#P#G#P#A#M#A#S#H#K#D#D#E#E#K#F#F#P#Q#S#G#V#L#I#F#G#K#Q#G#S#E#K#T#N#V#D#I#E#K#V#M#I#T#A#E#E#E#E#R#T#T#N#P#V#A#T#E#Q#Y#G#S#V#S#T#N#L#Q#R#G#N#R#Q#A#A#T#A#D#V#N#T#Q#G#V#L#P#G#M#V#W#Q#D#R#D#V#Y#L#Q#G#P#I#W#A#K#I#P#H#T#D#G#H#F#H#P#S#P#L#M#G#G#F#G#L#K#H#P#P#P#Q#I#L#I#K#N#T#P#V#P#A#N#P#S#T#T#F#S#A#A#K#F#A#S#F#I#T#Q#Y#S#T#G#Q#V#S#V#E#I#E#W#E#L#Q#K#E#N#S#K#R#W#N#P#E#I#Q#Y#T#S#N#Y#N#K#S#V#N#V#D#F#T#V#D#T#N#G#V#Y#S#E#P#R#P#I#G#T#R#Y#L#T#R#N#L# | -5.66213 | D345A:I349E | train |
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in Dataset Viewer.
Description
AAV Prediction is a regression task where each input protein x is mapped to a label y ∈ R measuring the fitness score.
Splits
Structure type: None
The dataset is from FLIP: Benchmark tasks in fitness landscape inferencefor proteins. We follow the original data splits from the "2-vs-rest" branch, with the number of training, validation and test set shown below:
- Train: 22246
- Valid: 2462
- Test: 50432
Data format
We organize all data in LMDB format. The architecture of the databse is like:
length: The number of samples
0:
- seq: The structure-aware sequence
- fitness: fitness label of the sequence
1:
···
- Downloads last month
- 2
Size of downloaded dataset files:
82.3 MB
Size of the auto-converted Parquet files:
7.61 MB
Number of rows:
75,140