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  3. DSIMB/PATHOS-PLM-EMBEDDINGS

DSIMB

PATHOS-PLM-EMBEDDINGS

PATHOS protein language-model embeddings — precomputed feature representations supporting pathogenicity prediction and downstream macromolecular ML on protein sequences.

Original source
Rows
466,534,193
On disk
4.5 TB
Downloads
255

Last 30 days

Updated
May 15

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Column statistics

How the columns are distributed

Over 587,100 rows of esmc_600m/train

mutant

string_label
  • H5%
  • W5%
  • C5%

position

int

Splits

6
  • esmc_600m/train
  • ankh2_large/train
  • esm2_t33_650M_UR50D/train
  • wt_ankh2_large/train
  • wt_esm2_t33_650M_UR50D/train
  • wt_esmc_600m/train

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  • Column statistics

Provenance

Licence
mit
Likes
min
1
median
78
mean
130.98
max
993

protein_id

string_label
  • A0A0J9YWL93%
  • A0A0J9YY542%
  • A0A0J9YXQ42%

variation

string_text
min
3
median
4
mean
4.30
max
5

wild_type

string_label
  • S10%
  • L10%
  • G8%
3

Fields

BiologyMedicineGenomics
feature-extraction