Anguix: Cell Signaling Modeling Improvement through Sabio-RK association to Reactome-Reference-Cited by-同舟云学术

Anguix: Cell Signaling Modeling Improvement through Sabio-RK association to Reactome

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 18th International Conference on e-Science (e-Science)
language:
Short-container-title:

Author:

Montoni Fabio¹,De Sousa Ronaldo N.¹,De Lima Junior Marcelo B.²,Campos Cristiano G.S.³,Wang Willian⁴,Constantino Vivian M.¹,Sanctos Cassia S.⁴,Armelin Hugo A.⁵,Reis Marcelo S.⁶

Affiliation:

1. CeTICS, Butantan Institute Bioinf. IME, Univ. of São Paulo,Butantan Institute Cell Cycle Lab.,São Paulo,Brazil

2. CeTICS, Butantan Institute Bioinf. IME, Univ. of São Paulo,São Paulo,Brazil

3. Inst. of Computing, University of Campinas,Campinas,Brazil

4. CeTICS, Butantan Institute São Paulo,Brazil

5. CeTICS, Butantan Institute Inst. of Chemistry, Univ. of São Paulo,Butantan Institute Cell Cycle Lab.,São Paulo,Brazil

6. CeTICS, Inst. of Computing, University of Campinas,Butantan Institute Recod Lab.,Campinas,Brazil

Funder

CAPES

CNPq

São Paulo Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9973400/9973405/09973605.pdf?arnumber=9973605

Reference5 articles.

1. A programmatic introduction to Neo4j

2. SABIO-RK: an updated resource for manually curated biochemical reaction kinetics

3. MetaNetX/MNXref: unified namespace for metabolites and biochemical reactions in the context of metabolic models

4. Reactome graph database: Efficient access to complex pathway data

5. Centralizing data to unlock whole-cell models

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Framework for Inference and Selection of Cell Signaling Pathway Dynamic Models;Advances in Bioinformatics and Computational Biology;2023