SubCELL: the landscape of subcellular compartment-specific molecular interactions

The subcellular compartment-specific molecular interactions (SCSIs) are the building blocks for most molecular functions, biological processes and disease pathogeneses. Extensive experiments have therefore been conducted to accumulate the valuable information of SCSIs, but none of the available databases has been constructed to describe those data. In this study, a novel knowledge base SubCELL is thus introduced to depict the landscape of SCSIs among DNAs/RNAs/proteins. This database is UNIQUE in (a) providing, for the first time, the experimentally-identified SCSIs, (b) systematically illustrating a large number of SCSIs inferred based on well-established method and (c) collecting experimentally-determined subcellular locations for the DNAs/RNAs/proteins of diverse species. Given the essential physiological/pathological role of SCSIs, the SubCELL is highly expected to have great implications for modern molecular biological study, which can be freely accessed with no login requirement at: https://idrblab.org/subcell/.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2024-10-07
DOI
https://doi.org/10.1093/nar/gkae863
Citations
2
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
0.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SubCELL: the landscape of subcellular compartment-specific molecular interactions

Yintao Zhang, Yu Chen, Yimiao Zhu, Shanshan Wang et al.
2 citations
Nucleic Acids Research
RNA and protein synthesis mechanisms
0.47
article

SubCELL: the landscape of subcellular compartment-specific molecular interactions

Yintao Zhang, Yu Chen, Yimiao Zhu, Shanshan Wang, Hangwei Xu, Li Teng, Feng Zhu, Ying Zhou, Wanghao Jiang, Xinyu Ren, Kerui Fang
article en
2 citations

Abstract

The subcellular compartment-specific molecular interactions (SCSIs) are the building blocks for most molecular functions, biological processes and disease pathogeneses. Extensive experiments have therefore been conducted to accumulate the valuable information of SCSIs, but none of the available databases has been constructed to describe those data. In this study, a novel knowledge base SubCELL is thus introduced to depict the landscape of SCSIs among DNAs/RNAs/proteins. This database is UNIQUE in (a) providing, for the first time, the experimentally-identified SCSIs, (b) systematically illustrating a large number of SCSIs inferred based on well-established method and (c) collecting experimentally-determined subcellular locations for the DNAs/RNAs/proteins of diverse species. Given the essential physiological/pathological role of SCSIs, the SubCELL is highly expected to have great implications for modern molecular biological study, which can be freely accessed with no login requirement at: https://idrblab.org/subcell/.

Nucleic Acids ResearchVol. 53(D1)
Ningbo University (CN), Shenzhen Bay Laboratory (CN), Second Affiliated Hospital of Zhejiang University (CN), Artificial Intelligence in Medicine (Canada) (CA), Zhejiang University (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Zhejiang University, Shenzhen Bay Laboratory, National Key Research and Development Program of China, Natural Science Foundation of Zhejiang Province
Life in Land
Openalex Percentile: Top 35%
RNA and protein synthesis mechanisms
0.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.