ProteinCartography v0.4 analyses for sample of most-studied human proteins
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https://zenodo.org/record/8377392
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Results from running the ProteinCartography pipeline (v0.4) using analyses on 25 proteins sampled from the most-studied human proteins listed in Liu and Buck, 2021.
The proteins included are listed in the table below. The results for each analysis are provided as individually-zipped folders, with the name of the file reflective of the protein name. To download all of the analyses in one folder, you can download the "25humanprotein_analysis.zip" file.
UniProt ID
Protein name
Protein symbol (in figures)
Q9UM73
ALK tyrosine kinase receptor
ALK
Q96RI1
Bile acid receptor
NR1H4
P43235
Cathepsin K
CATK
P08603
Complement factor H
CFAH
P00374
Dihydrofolate reductase
DYR
P98170
E3 ubiquitin-protein ligase XIAP
XIAP
P49841
Glycogen synthase kinase-3 beta
GSK3B
P01112
GTPase HRas
RASH
P68871
Hemoglobin subunit beta
HBB
P04439
HLA class I histocompatibility antigen, A alpha chain
HLAA
P01834
Immunoglobulin kappa constant
IGKC
P14174
Macrophage migration inhibitory factor
MIF
P53779
Mitogen-activated protein kinase 10
MK10
Q15596
Nuclear receptor coactivator 2
NCOA2
Q99497
Parkinson disease protein 7
PARK7
P62937
Peptidyl-prolyl cis-trans isomerase A
PPIA
Q13451
Peptidyl-prolyl cis-trans isomerase FKBP5
FKBP5
P27986
Phosphatidylinositol 3-kinase regulatory subunit alpha
P85A
O75530
Polycomb protein EED
EED
P28074
Proteasome subunit beta type-5
PSB5
P19793
Retinoic acid receptor RXR-alpha
RXRA
P50120
Retinol-binding protein 2
RET2
P00441
Superoxide dismutase [Ccu-Zn]
SODC
Q93009
Ubiquitin carboxyl-terminal hydrolase 7
UPB7
P40337
von Hippel -–Lindau disease tumor suppressor
VHL
A TSV file, "most_studied_human_proteins.tsv", is included for use with the analysis notebook ("pub/most_studied_human_proteins.ipynb") found in our GitHub repository for the Arcadia Science Pub "ProteinCartography: Comparing proteins with structure-based maps for interactive exploration". The notebook produces the outputs, "sampled_proteins.tsv", and. "most_studied_human_proteins_analysis.tsv", which are used by the analysis notebook ("pub/cluster_quality_human_proteins.ipynb"), which uses the contents of this deposition.
创建时间:
2023-09-29



