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ABYSSAL (Dieckhaus et al. 2024)

ABYSSAL as evaluated in the cited comparison.

Overview

ABYSSAL as evaluated in the cited comparison.

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Evaluations and results

2 evaluations · 3 results. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: ABYSSAL (Dieckhaus et al. 2024)	Protocol: S669 direct ddG prediction (Dieckhaus et al. 2024 Table 3) Dataset: S669 as used in Dieckhaus et al. Table 3	0.37 pearson-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Result quoted from another source · Source checked Methods, coverage and source ABYSSAL on S669 direct (Dieckhaus et al. 2024) protein-stability-20261009-protocol-dieckhaus2024-s669 Aggregation: Not reported Transfer learning to leverage larger datasets for improved prediction of protein stability changes · Table 3, row 'ABYSSAL ( 16 )', column 'S669 PCC'
Configuration: ABYSSAL (Dieckhaus et al. 2024)	Protocol: Ssym direct and inverse ddG prediction (Dieckhaus et al. 2024 Table 3) Dataset: Ssym (342 direct and 342 inverse variants with experimental structures)	0.46 pearson-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Result quoted from another source · Source checked Methods, coverage and source ABYSSAL on Ssym direct and inverse (Dieckhaus et al. 2024) protein-stability-20261009-protocol-dieckhaus2024-ssym Aggregation: Not reported Transfer learning to leverage larger datasets for improved prediction of protein stability changes · Table 3, row 'ABYSSAL ( 16 )', column 'Ssym (direct) PCC'
Configuration: ABYSSAL (Dieckhaus et al. 2024)	Protocol: Ssym direct and inverse ddG prediction (Dieckhaus et al. 2024 Table 3) Dataset: Ssym (342 direct and 342 inverse variants with experimental structures)	0.44 pearson-correlation unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Result quoted from another source · Source checked Methods, coverage and source ABYSSAL on Ssym direct and inverse (Dieckhaus et al. 2024) protein-stability-20261009-protocol-dieckhaus2024-ssym Aggregation: Not reported Transfer learning to leverage larger datasets for improved prediction of protein stability changes · Table 3, row 'ABYSSAL ( 16 )', column 'Ssym (inverse) PCC'

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Release 2026-10-10-6e93f504adfc · Record review: source checked

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Transfer learning to leverage larger datasets for improved prediction of protein stability changes · Original source · PNAS 121(6):e2314853121, published 2024-01-29; PMC10861915 full-text XML

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Technical metadata and extraction receipts

Stable ID: protein-stability-20261009-config-dieckhaus2024-abyssal

areas: proteins-complexes
contexts: research
method types: supervised_machine_learning
reported name: ABYSSAL
foundation model eligible: false
source locator: Tables 2-3; Results 'Comparison with literature methods'
protocol: Published model or software with accessible code, run by the authors (Table 2) or values taken from the cited literature (Table 3)
missing metadata: version: reason: unreported

Related records

configuration of: ABYSSAL
system: ABYSSAL on S669 direct (Dieckhaus et al. 2024)
system: ABYSSAL on Ssym direct and inverse (Dieckhaus et al. 2024)

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