Published May 7, 2026 | Version v1
Dataset Open

Training and evaluation datasets for the TmProt tool

  • 1. Loschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic
  • 2. International Clinical Research Centre, St. Anne's University Hospital, 656 91 Brno, Czech Republic

Description


These datasets were used for training and evaluating TmProt 1.0, a protein melting temperature (Tm) predictor based on LoRA-adapted ESM-2 embeddings. The source code is available at the GitHub repository.

ProMelt: Training Dataset

ProMelt (train_promelt_seq.csv, val_promelt_seq.csv, test_promelt_seq.csv) comprises 45,441 proteins assembled from two proteomics-based sources: Meltome Atlas (Jarzab A et al., 2020) and ProThermDB (Nikam R et al., 2021). Sequences were filtered to lengths of 20–2,000 amino acids and deduplicated by UniProt ID. Proteins overlapping with the independent validation sets were removed before training. The dataset was split at 25% maximum sequence identity using USEARCH into training (77.1%, n = 35,054), validation (8.6%, n = 3,895), and test (14.3%, n = 6,492) subsets to prevent data leakage.

Independent Biophysics-Based Validation Datasets

Five datasets assembled from low-throughput biophysical experiments, used exclusively for benchmarking:

  • BRENDA (BRENDA.csv, n = 321): Wild-type enzymes with Tm values manually curated from the BRENDA enzyme database (Chang A et al., 2021), accessed January 2025. Filtered to neutral pH, wild-type entries only, and measurements free of exogenous ligands, ions, or apoenzyme annotations.
  • FireProt (FIREPROT.csv, n = 94): Wild-type protein Tm values extracted from FireProtDB (Stourac J et al., 2021), accessed June 2023. A manually curated thermostability database of literature-derived and experimentally validated entries.
  • ERED_WT / ERED_ASR (ERED_WT.csv, n = 39; ERED_ASR.csv, n = 44): Ene reductases (390–417 residues) comprising wild-type proteins and variants designed via ancestral sequence reconstruction (ASR) for enhanced thermostability (Livada J et al., 2023). Tm measured by differential scanning fluorimetry (DSF); range 37–67°C.
  • CAS (CAS.csv, n = 29): CRISPR-Cas Class II effector proteins (1,049–1,535 residues) (Pudžiuvelytė I et al., 2024). Tm values span 33–67°C, measured by nano differential scanning fluorimetry (nanoDSF).
  • HLD (HLD.csv, n = 24): Haloalkane dehalogenases (271–336 residues) obtained through genome mining (Vasina M et al., 2022). Tm values range 35.2–58.7°C, measured by DSF.

For more details about the tool, please get in touch with us.

Files

BRENDA.csv

Files (24.7 MB)

Name Size Download all
md5:a10a037d956b021f4ff00597c72d3f7f
145.2 kB Preview Download
md5:a04e0840edb1b8dd1c133d541490e648
38.8 kB Preview Download
md5:af1e9a14cff441da79339880de912ab9
18.5 kB Preview Download
md5:79426689c9d2130b9d61b98eb4c94dbd
16.2 kB Preview Download
md5:d7844ff3458c5a8e45da55cdcff41d4a
28.0 kB Preview Download
md5:aeb37db87d1f1b2c3a8473eb9bd2459f
7.6 kB Preview Download
md5:f946d430f5a1d09357765e33200c1786
3.6 MB Preview Download
md5:be76c50032a4461b16fcbbdaa1dd4118
18.8 MB Preview Download
md5:b103fe2b07f5661c0dbe0b8fbdb3ea66
2.1 MB Preview Download

Additional details

Related works

Is referenced by
Preprint: 10.64898/2026.05.07.723192 (DOI)

Software

Repository URL
https://github.com/loschmidt/TmProt
Programming language
Python
Development Status
Active

References