Stability Prediction
Collection
This group contains all relative training datasets and model checkpoints trained on these datasets for Stability Prediction.
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2 items
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Updated
protein
stringlengths 43
50
| label
float64 -1.97
3.4
| stage
stringclasses 3
values |
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TTIKVNGQEYTVPLSPEQAAKAAKKRWPDYEVQIHGNTVKVTR | 0.85 | test |
TTIKVNGQEYTVPLSPEQDAKAAKKRWPDYEVQIHGNTVKVTR | 0.3 | test |
TTIKVNGQEYTVPLSPEQEAKAAKKRWPDYEVQIHGNTVKVTR | 0.23 | test |
TTIKVNGQEYTVPLSPEQFAKAAKKRWPDYEVQIHGNTVKVTR | 0.53 | test |
TTIKVNGQEYTVPLSPEQGAKAAKKRWPDYEVQIHGNTVKVTR | 0.55 | test |
TTIKVNGQEYTVPLSPEQHAKAAKKRWPDYEVQIHGNTVKVTR | 0.26 | test |
TTIKVNGQEYTVPLSPEQIAKAAKKRWPDYEVQIHGNTVKVTR | 0.62 | test |
TTIKVNGQEYTVPLSPEQKAKAAKKRWPDYEVQIHGNTVKVTR | 0.2 | test |
TTIKVNGQEYTVPLSPEQLAKAAKKRWPDYEVQIHGNTVKVTR | 0.59 | test |
TTIKVNGQEYTVPLSPEQMAKAAKKRWPDYEVQIHGNTVKVTR | 0.68 | test |
TTIKVNGQEYTVPLSPEQNAKAAKKRWPDYEVQIHGNTVKVTR | 0.32 | test |
TTIKVNGQEYTVPLSPEQPAKAAKKRWPDYEVQIHGNTVKVTR | 0.29 | test |
TTIKVNGQEYTVPLSPEQQAKAAKKRWPDYEVQIHGNTVKVTR | 0.27 | test |
TTIKVNGQEYTVPLSPEQRAKAAKKRWPDYEVQIHGNTVKVTR | 0.17 | test |
TTIKVNGQEYTVPLSPEQSAKAAKKRWPDYEVQIHGNTVKVTR | 0.56 | test |
TTIKVNGQEYTVPLSPEQTAKAAKKRWPDYEVQIHGNTVKVTR | 0.6 | test |
TTIKVNGQEYTVPLSPEQVAKAAKKRWPDYEVQIHGNTVKVTR | 0.86 | test |
TTIKVNGQEYTVPLSPEQWAKAAKKRWPDYEVQIHGNTVKVTR | 0.55 | test |
TTIKVNGQEYTVPLSPEQYAKAAKKRWPDYEVQIHGNTVKVTR | 0.31 | test |
TTIKVNGQEYTVPLSPEQADKAAKKRWPDYEVQIHGNTVKVTR | 0.25 | test |
TTIKVNGQEYTVPLSPEQAEKAAKKRWPDYEVQIHGNTVKVTR | 0.63 | test |
TTIKVNGQEYTVPLSPEQAFKAAKKRWPDYEVQIHGNTVKVTR | 1.08 | test |
TTIKVNGQEYTVPLSPEQAGKAAKKRWPDYEVQIHGNTVKVTR | 0.63 | test |
TTIKVNGQEYTVPLSPEQAHKAAKKRWPDYEVQIHGNTVKVTR | 0.57 | test |
TTIKVNGQEYTVPLSPEQAIKAAKKRWPDYEVQIHGNTVKVTR | 0.66 | test |
TTIKVNGQEYTVPLSPEQAKKAAKKRWPDYEVQIHGNTVKVTR | 0.75 | test |
TTIKVNGQEYTVPLSPEQALKAAKKRWPDYEVQIHGNTVKVTR | 0.86 | test |
TTIKVNGQEYTVPLSPEQAMKAAKKRWPDYEVQIHGNTVKVTR | 0.85 | test |
TTIKVNGQEYTVPLSPEQANKAAKKRWPDYEVQIHGNTVKVTR | 0.35 | test |
TTIKVNGQEYTVPLSPEQAPKAAKKRWPDYEVQIHGNTVKVTR | 0.36 | test |
TTIKVNGQEYTVPLSPEQAQKAAKKRWPDYEVQIHGNTVKVTR | 0.63 | test |
TTIKVNGQEYTVPLSPEQARKAAKKRWPDYEVQIHGNTVKVTR | 0.7 | test |
TTIKVNGQEYTVPLSPEQASKAAKKRWPDYEVQIHGNTVKVTR | 0.57 | test |
TTIKVNGQEYTVPLSPEQATKAAKKRWPDYEVQIHGNTVKVTR | 0.49 | test |
TTIKVNGQEYTVPLSPEQAVKAAKKRWPDYEVQIHGNTVKVTR | 0.77 | test |
TTIKVNGQEYTVPLSPEQAWKAAKKRWPDYEVQIHGNTVKVTR | 1.05 | test |
TTIKVNGQEYTVPLSPEQAYKAAKKRWPDYEVQIHGNTVKVTR | 1.1 | test |
TTIKVNGQEYTVPLSPEQAAKDAKKRWPDYEVQIHGNTVKVTR | 0.39 | test |
TTIKVNGQEYTVPLSPEQAAKEAKKRWPDYEVQIHGNTVKVTR | 0.51 | test |
TTIKVNGQEYTVPLSPEQAAKFAKKRWPDYEVQIHGNTVKVTR | 1.48 | test |
TTIKVNGQEYTVPLSPEQAAKGAKKRWPDYEVQIHGNTVKVTR | 0.6 | test |
TTIKVNGQEYTVPLSPEQAAKHAKKRWPDYEVQIHGNTVKVTR | 0.82 | test |
TTIKVNGQEYTVPLSPEQAAKIAKKRWPDYEVQIHGNTVKVTR | 0.93 | test |
TTIKVNGQEYTVPLSPEQAAKKAKKRWPDYEVQIHGNTVKVTR | 0.92 | test |
TTIKVNGQEYTVPLSPEQAAKLAKKRWPDYEVQIHGNTVKVTR | 1.31 | test |
TTIKVNGQEYTVPLSPEQAAKMAKKRWPDYEVQIHGNTVKVTR | 0.92 | test |
TTIKVNGQEYTVPLSPEQAAKNAKKRWPDYEVQIHGNTVKVTR | 0.58 | test |
TTIKVNGQEYTVPLSPEQAAKPAKKRWPDYEVQIHGNTVKVTR | 0.02 | test |
TTIKVNGQEYTVPLSPEQAAKQAKKRWPDYEVQIHGNTVKVTR | 0.83 | test |
TTIKVNGQEYTVPLSPEQAAKRAKKRWPDYEVQIHGNTVKVTR | 1.08 | test |
TTIKVNGQEYTVPLSPEQAAKSAKKRWPDYEVQIHGNTVKVTR | 0.42 | test |
TTIKVNGQEYTVPLSPEQAAKTAKKRWPDYEVQIHGNTVKVTR | 0.36 | test |
TTIKVNGQEYTVPLSPEQAAKVAKKRWPDYEVQIHGNTVKVTR | 0.92 | test |
TTIKVNGQEYTVPLSPEQAAKWAKKRWPDYEVQIHGNTVKVTR | 1.56 | test |
TTIKVNGQEYTVPLSPEQAAKYAKKRWPDYEVQIHGNTVKVTR | 1.41 | test |
TTIKVNGQEYTVPLSPEQAAKADKKRWPDYEVQIHGNTVKVTR | -0.08 | test |
TTIKVNGQEYTVPLSPEQAAKAEKKRWPDYEVQIHGNTVKVTR | 0.22 | test |
TTIKVNGQEYTVPLSPEQAAKAFKKRWPDYEVQIHGNTVKVTR | 1.23 | test |
TTIKVNGQEYTVPLSPEQAAKAGKKRWPDYEVQIHGNTVKVTR | 0.16 | test |
TTIKVNGQEYTVPLSPEQAAKAHKKRWPDYEVQIHGNTVKVTR | 0.38 | test |
TTIKVNGQEYTVPLSPEQAAKAIKKRWPDYEVQIHGNTVKVTR | 0.92 | test |
TTIKVNGQEYTVPLSPEQAAKAKKKRWPDYEVQIHGNTVKVTR | 0.43 | test |
TTIKVNGQEYTVPLSPEQAAKALKKRWPDYEVQIHGNTVKVTR | 1.25 | test |
TTIKVNGQEYTVPLSPEQAAKAMKKRWPDYEVQIHGNTVKVTR | 1.08 | test |
TTIKVNGQEYTVPLSPEQAAKANKKRWPDYEVQIHGNTVKVTR | 0.19 | test |
TTIKVNGQEYTVPLSPEQAAKAPKKRWPDYEVQIHGNTVKVTR | 0.03 | test |
TTIKVNGQEYTVPLSPEQAAKAQKKRWPDYEVQIHGNTVKVTR | 0.33 | test |
TTIKVNGQEYTVPLSPEQAAKARKKRWPDYEVQIHGNTVKVTR | 0.53 | test |
TTIKVNGQEYTVPLSPEQAAKASKKRWPDYEVQIHGNTVKVTR | 0.28 | test |
TTIKVNGQEYTVPLSPEQAAKATKKRWPDYEVQIHGNTVKVTR | 0.19 | test |
TTIKVNGQEYTVPLSPEQAAKAVKKRWPDYEVQIHGNTVKVTR | 0.91 | test |
TTIKVNGQEYTVPLSPEQAAKAWKKRWPDYEVQIHGNTVKVTR | 1.03 | test |
TTIKVNGQEYTVPLSPEQAAKAYKKRWPDYEVQIHGNTVKVTR | 0.93 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPAYEVQIHGNTVKVTR | 0.81 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPEYEVQIHGNTVKVTR | 0.87 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPFYEVQIHGNTVKVTR | 0.79 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPGYEVQIHGNTVKVTR | 0.85 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPHYEVQIHGNTVKVTR | 0.82 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPIYEVQIHGNTVKVTR | 0.65 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPKYEVQIHGNTVKVTR | 0.87 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPLYEVQIHGNTVKVTR | 0.78 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPMYEVQIHGNTVKVTR | 0.94 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPNYEVQIHGNTVKVTR | 0.92 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPPYEVQIHGNTVKVTR | 0.47 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPQYEVQIHGNTVKVTR | 0.84 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPRYEVQIHGNTVKVTR | 0.95 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPSYEVQIHGNTVKVTR | 0.71 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPTYEVQIHGNTVKVTR | 0.72 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPVYEVQIHGNTVKVTR | 0.69 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPWYEVQIHGNTVKVTR | 0.8 | test |
TTIKVNGQEYTVPLSPEQAAKAAKKRWPYYEVQIHGNTVKVTR | 0.76 | test |
TTIKVNGQEYTVPLSPAQAAKAAKKRWPDYEVQIHGNTVKVTR | 0.77 | test |
TTIKVNGQEYTVPLSPDQAAKAAKKRWPDYEVQIHGNTVKVTR | 0.8 | test |
TTIKVNGQEYTVPLSPFQAAKAAKKRWPDYEVQIHGNTVKVTR | 0.79 | test |
TTIKVNGQEYTVPLSPGQAAKAAKKRWPDYEVQIHGNTVKVTR | 0.68 | test |
TTIKVNGQEYTVPLSPHQAAKAAKKRWPDYEVQIHGNTVKVTR | 0.71 | test |
TTIKVNGQEYTVPLSPIQAAKAAKKRWPDYEVQIHGNTVKVTR | 0.85 | test |
TTIKVNGQEYTVPLSPKQAAKAAKKRWPDYEVQIHGNTVKVTR | 0.72 | test |
TTIKVNGQEYTVPLSPLQAAKAAKKRWPDYEVQIHGNTVKVTR | 0.78 | test |
TTIKVNGQEYTVPLSPMQAAKAAKKRWPDYEVQIHGNTVKVTR | 0.81 | test |
Stability Landscape Prediction is a regression task where each input protein x is mapped to a label y ∈ R measuring the most extreme circumstances in which protein x maintains its fold above a concentration threshold (a proxy for intrinsic stability).
Structure type: None
The dataset is from Evaluating Protein Transfer Learning with TAPE. We follow the original data splits, with the number of training, validation and test set shown below:
The label is the fitness of the protein measuring the most extreme circumstances in which the protein maintains its fold above a concentration threshold (a proxy for intrinsic stability).