Pearson correlation analysis between disorder propensity scores predicted by IDP-LM and per-residue confidence score (pLDDT) produced by AlphaFold on the CAID dataset.

Pang, Yihe; Liu, Bin

doi:10.1371/journal.pcbi.1011657.s006

pcbi.1011657.s006.docx (25.21 kB)

Pearson correlation analysis between disorder propensity scores predicted by IDP-LM and per-residue confidence score (pLDDT) produced by AlphaFold on the CAID dataset.

journal contribution

posted on 2023-11-24, 00:31 authored by Yihe Pang, Bin Liu

Pearson correlation analysis between disorder propensity scores predicted by IDP-LM and per-residue confidence score (pLDDT) produced by AlphaFold on the CAID dataset.

History

Usage metrics

Keywords

rational drug design native physiologic conditions grained feature representations capture complex structural annotated disordered sequences amino acid sequences ablation analysis shown unlabelled protein sequences protein language models three language models lack stable three critical biological processes bert provided fine lm provided high functionally important proteins predicting intrinsic disorder protein intrinsic disorder quality prediction results disorder functions based intrinsic disorder protein structures intrinsic disorders evaluation results biological properties bert ).disorder functions three pre sequence information recently demonstrated providing opportunities powerful abilities performance improvement past decades lm takes inform studies including protbert functional information exponential growth exclusive inputs enormous quantity embeddings extracted dimensional structures comprehensive understanding

Licence

CC BY 4.0

Exports

RefWorks

BibTeX

Ref. manager

Endnote

DataCite

NLM

DC

Pearson correlation analysis between disorder propensity scores predicted by IDP-LM and per-residue confidence score (pLDDT) produced by AlphaFold on the CAID dataset.

History

Usage metrics

Categories

Keywords

Licence

Exports