TY - JOUR
T1 - Structural signatures
T2 - A web server for exploring a database of and generating protein structural features from human cell lines and tissues
AU - Zatorski, Nicole
AU - Stein, David
AU - Rahman, Rayees
AU - Iyengar, Ravi
AU - Schlessinger, Avner
N1 - Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press.
PY - 2022
Y1 - 2022
N2 - Structural features of proteins provide powerful insights into biological function and similarity. Specifically, previous work has demonstrated that structural features of tissue and drug-treated cell line samples can be used to predict tissue type and characterize drug relationships, respectively. We have developed structural signatures, a web server for annotating and analyzing protein features from gene sets that are often found in transcriptomic and proteomic data. This platform provides access to a structural feature database derived from normal and disease human tissue samples. We show how analysis using this database can shed light on the relationship between states of single-cell RNA-sequencing lung cancer samples. These various structural feature signatures can be visualized on the server itself or downloaded for additional analysis. The structural signatures server tool is freely available at https://structural-server.kinametrix.com/.
AB - Structural features of proteins provide powerful insights into biological function and similarity. Specifically, previous work has demonstrated that structural features of tissue and drug-treated cell line samples can be used to predict tissue type and characterize drug relationships, respectively. We have developed structural signatures, a web server for annotating and analyzing protein features from gene sets that are often found in transcriptomic and proteomic data. This platform provides access to a structural feature database derived from normal and disease human tissue samples. We show how analysis using this database can shed light on the relationship between states of single-cell RNA-sequencing lung cancer samples. These various structural feature signatures can be visualized on the server itself or downloaded for additional analysis. The structural signatures server tool is freely available at https://structural-server.kinametrix.com/.
UR - http://www.scopus.com/inward/record.url?scp=85135381321&partnerID=8YFLogxK
U2 - 10.1093/database/baac053
DO - 10.1093/database/baac053
M3 - Article
C2 - 35881481
AN - SCOPUS:85135381321
SN - 1758-0463
VL - 2022
JO - Database : the journal of biological databases and curation
JF - Database : the journal of biological databases and curation
M1 - baac053
ER -