|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Related Data for: PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction |
|
Identification Number: |
doi:10.21979/N9/IZZKTZ |
|
Distributor: |
DR-NTU (Data) |
|
Date of Distribution: |
2025-02-03 |
|
Version: |
1 |
|
Bibliographic Citation: |
Rashid, Shamima; Wan, Zhang; Kwoh, Chee Keong; Lin, Zhuoyi; Ng, Shaun Yue Hao; Yin, Rui; Senthilnath, J., 2025, "Related Data for: PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction", https://doi.org/10.21979/N9/IZZKTZ, DR-NTU (Data), V1, UNF:6:XqxFQ/x98XTQs7+Ns8GGJw== [fileUNF] |
|
Citation |
|
|
Title: |
Related Data for: PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction |
|
Subtitle: |
Coronavirus Neutralization Data (Epitope and Paratope Sequences) |
|
Identification Number: |
doi:10.21979/N9/IZZKTZ |
|
Authoring Entity: |
Rashid, Shamima (Nanyang Technological University) |
|
Wan, Zhang (Nanyang Technological University) |
|
|
Kwoh, Chee Keong (Nanyang Technological University) |
|
|
Lin, Zhuoyi (Institute for Infocomm Research, Agency for Science, Technology and Research) |
|
|
Ng, Shaun Yue Hao (Nanyang Technological University) |
|
|
Yin, Rui (University of Florida) |
|
|
Senthilnath, J. (Institute for Infocomm Research, Agency for Science, Technology and Research) |
|
|
Software used in Production: |
PyMOL |
|
Grant Number: |
MOE2019-T2-2-175 |
|
Grant Number: |
MOE2020-T1-001-130 |
|
Distributor: |
DR-NTU (Data) |
|
Access Authority: |
Rashid, Shamima |
|
Access Authority: |
Chee Keong, Kwoh |
|
Depositor: |
Rashid, Shamima |
|
Date of Deposit: |
2024-06-18 |
|
Holdings Information: |
https://doi.org/10.21979/N9/IZZKTZ |
|
Study Scope |
|
|
Keywords: |
Chemistry, Computer and Information Science, Medicine, Health and Life Sciences, Chemistry, Computer and Information Science, Medicine, Health and Life Sciences, Epitopes, Paratopes, Coronavirus |
|
Abstract: |
This dataset contains 3 versions of epitope-paratope data and their neutralizing data for the SARS-CoV 2 virus. We pre-processed and annotated antibody-antigen binding data from the Observed Antibody Space (OAS) database to obtain these paratopes and epitopes. |
|
Kind of Data: |
Tabular |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Other Study Description Materials |
|
|
Related Studies |
|
|
<a href="https://github.com/shamimarashid/GCN_EpiPred">https://github.com/shamimarashid/GCN_EpiPred</a> |
|
|
Related Publications |
|
|
Citation |
|
|
Identification Number: |
10.1109/BIBM58861.2023.10386059 |
|
Bibliographic Citation: |
Wan, Z., Lin, Z., Rashid, S., Ng, S. Y. H., Yin, R., Senthilnath, J., & Kwoh, C. K. (2023, December). PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 49-56). IEEE. |
|
Citation |
|
|
Identification Number: |
10356/178506 |
|
Bibliographic Citation: |
Wan, Z., Lin, Z., Rashid, S., Ng, S. Y. H., Yin, R., Senthilnath, J., & Kwoh, C. K. (2023, December). PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 49-56). IEEE. |
|
Other Reference Note(s) |
|
|
<a href="https://github.com/shamimarashid/GCN_EpiPred">https://github.com/shamimarashid/GCN_EpiPred</a> |
|
|
File Description--f139739 |
|
|
File: CoV-AbDab_310.tab |
|
|
|
|
Notes: |
UNF:6:1S8xNlxC/A5bjyz5wcJXPQ== |
|
File Description--f139729 |
|
|
File: CoV-AbDab_extract.tab |
|
|
|
|
Notes: |
UNF:6:GtERqAvwJ8cPApagJMT+dg== |
|
List of Variables: | |
|
Variables |
|
|
f139739 Location: |
Summary Statistics: Max. 310.0; StDev 89.63351307779176; Valid 310.0; Mean 155.5; Min. 1.0 Variable Format: numeric Notes: UNF:6:p7aFWkQhCrw0sJsgbBYqwQ== |
|
f139739 Location: |
Variable Format: character Notes: UNF:6:KaQfovRMc9OVfnvITCRWsw== |
|
f139739 Location: |
Variable Format: character Notes: UNF:6:ZkStIw+73ICrD1oP5ucRMw== |
|
f139739 Location: |
Summary Statistics: Mean 0.7354838709677419; Valid 310.0; StDev 0.4417883538270327; Min. 0.0; Max. 1.0 Variable Format: numeric Notes: UNF:6:+VTXxqxe2KQz3IowImOUaQ== |
|
f139739 Location: |
Variable Format: character Notes: UNF:6:3/OtTuP/LPa0W5X0JMT5NA== |
|
f139739 Location: |
Variable Format: character Notes: UNF:6:L2wVbbdAAw7R68zbc75HuQ== |
|
f139729 Location: |
Summary Statistics: Max. 310.0; Min. 1.0; Mean 155.5; Valid 310.0; StDev 89.63351307779176 Variable Format: numeric Notes: UNF:6:p7aFWkQhCrw0sJsgbBYqwQ== |
|
f139729 Location: |
Variable Format: character Notes: UNF:6:KaQfovRMc9OVfnvITCRWsw== |
|
f139729 Location: |
Summary Statistics: Max. 1.0; Mean 0.7354838709677419; Min. 0.0; Valid 310.0; StDev 0.4417883538270327 Variable Format: numeric Notes: UNF:6:+VTXxqxe2KQz3IowImOUaQ== |
|
f139729 Location: |
Variable Format: character Notes: UNF:6:UTdpre4c20adwz08iQ0DDw== |
|
f139729 Location: |
Variable Format: character Notes: UNF:6:L2wVbbdAAw7R68zbc75HuQ== |
|
Label: |
Citation |
|
Text: |
Citation Information |
|
Notes: |
text/plain; charset=US-ASCII |
|
Label: |
CoV-AbDab_281221_Shaun.xlsx |
|
Text: |
Raw Data |
|
Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
|
Label: |
data_preprocessing.py |
|
Notes: |
text/x-python |
|
Label: |
GCN_EpiPred_FinalNov2023.ipynb |
|
Notes: |
application/x-ipynb+json |
|
Label: |
README.md |
|
Notes: |
text/markdown |