Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

PSCP Data and Results for PIPPack

Authors: Randolph, Nicholas; Kuhlman, Brian;

PSCP Data and Results for PIPPack

Abstract

Evaluation datasets and results for the protein side chain packing (PSCP) task from PIPPack: https://www.biorxiv.org/content/10.1101/2023.08.03.551328v2. This repository contains the CASP13, CASP14, CASP15, CASP15+context, and Top2018 test sets created as described in the PIPPack paper. The native, ground-truth structures are found in the "native" subdirectory; other subdirectories contain predictions made by PSCP methods. Subdirectories also contain some statistics and results in the form of .txt files. The CASP15+context results make use of an additional Python script (PIPPack/data/extract_targets_from_full_targets.py) found in the PIPPack GitHub repository (https://github.com/Kuhlman-Lab/PIPPack). Citing this work: If you choose to use any of these datasets or results for your own research, please cite this repository and the PIPPack paper: https://www.biorxiv.org/content/10.1101/2023.08.03.551328v2.

Related Organizations
Keywords

Protein Design, Deep Learning, Structural Biology, Protein Structure Prediction, Protein Modelling

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average