A Special Structural Based Weighted Network Approach for the Analysis of Protein Complexes

The detection and analysis of protein complexes is essential for understanding the functional mechanism and cellular integrity. Recently, several techniques for detecting and analysing protein complexes from Protein–Protein Interaction (PPI) dataset have been developed. Most of those techniques are...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Ochieng Peter Juma
Dombi József
Kalmár Tibor
Krész Miklós
Dokumentumtípus: Cikk
Megjelent: 2023
Sorozat:APPLIED SCIENCES-BASEL 13 No. 11
Tárgyszavak:
doi:10.3390/app13116388

mtmt:33861686
Online Access:http://publicatio.bibl.u-szeged.hu/27284
LEADER 02084nab a2200265 i 4500
001 publ27284
005 20230525083045.0
008 230525s2023 hu o 0|| Angol d
022 |a 2076-3417 
024 7 |a 10.3390/app13116388  |2 doi 
024 7 |a 33861686  |2 mtmt 
040 |a SZTE Publicatio Repozitórium  |b hun 
041 |a Angol 
100 1 |a Ochieng Peter Juma 
245 1 2 |a A Special Structural Based Weighted Network Approach for the Analysis of Protein Complexes  |h [elektronikus dokumentum] /  |c  Ochieng Peter Juma 
260 |c 2023 
300 |a 29 
490 0 |a APPLIED SCIENCES-BASEL  |v 13 No. 11 
520 3 |a The detection and analysis of protein complexes is essential for understanding the functional mechanism and cellular integrity. Recently, several techniques for detecting and analysing protein complexes from Protein–Protein Interaction (PPI) dataset have been developed. Most of those techniques are inefficient in terms of detecting, overlapping complexes, exclusion of attachment protein in complex core, inability to detect inherent structures of underlying complexes, have high false-positive rates and an enrichment analysis. To address these limitations, we introduce a special structural-based weighted network approach for the analysis of protein complexes based on a Weighted Edge, Core-Attachment and Local Modularity structures (WECALM). Experimental results indicate that WECALM performs relatively better than existing algorithms in terms of accuracy, computational time, and p-value. A functional enrichment analysis also shows that WECALM is able to identify a large number of biologically significant protein complexes. Overall, WECALM outperforms other approaches by striking a better balance of accuracy and efficiency in the detection of protein complexes. 
650 4 |a Számítás- és információtudomány 
650 4 |a Biológiai tudományok 
700 0 1 |a Dombi József  |e aut 
700 0 1 |a Kalmár Tibor  |e aut 
700 0 1 |a Krész Miklós  |e aut 
856 4 0 |u http://publicatio.bibl.u-szeged.hu/27284/1/applsci-13-06388-v2.pdf  |z Dokumentum-elérés