Vasilis J. Promponas
Vasilis J. Promponas
Assīciate Professor in Bioinformatics, University of Cyprus, Nicosia, Cyprus
Verified email at
Cited by
Cited by
Guidelines for the use and interpretation of assays for monitoring autophagy
DJ Klionsky, K Abdelmohsen, A Abe, MJ Abedin, H Abeliovich, ...
Autophagy 12 (1), 1-222, 2016
CAST: an iterative algorithm for the complexity analysis of sequence tracts
VJ Promponas, AJ Enright, S Tsoka, DP Kreil, C Leroy, S Hamodrakas, ...
Bioinformatics 16 (10), 915-922, 2000
A novel method for predicting transmembrane segments in proteins based on a statistical analysis of the SwissProt database: the PRED-TMR algorithm
C Pasquier, VJ Promponas, GA Palaios, JS Hamodrakas, SJ Hamodrakas
Protein Engineering 12 (5), 381-385, 1999
DisProt: intrinsic protein disorder annotation in 2020
A Hatos, B Hajdu-Soltész, AM Monzon, N Palopoli, L Álvarez, ...
Nucleic acids research 48 (D1), D269-D276, 2020
iLIR: a web resource for prediction of Atg8-family interacting proteins
I Kalvari, S Tsompanis, NC Mulakkal, R Osgood, T Johansen, IP Nezis, ...
Autophagy 10 (5), 2014
Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases
OK Tørresen, B Star, P Mier, MA Andrade-Navarro, A Bateman, P Jarnot, ...
Nucleic acids research 47 (21), 10994-11006, 2019
Evaluation of annotation strategies using an entire genome sequence
I Iliopoulos, S Tsoka, MA Andrade, AJ Enright, M Carroll, P Poullet, ...
Bioinformatics 19 (6), 717-726, 2003
iLIR database: A web resource for LIR motif-containing proteins in eukaryotes
AC Jacomin, S Samavedam, V Promponas, IP Nezis
Autophagy 12 (10), 1945-1953, 2016
Critical assessment of protein intrinsic disorder prediction
M Necci, D Piovesan, SCE Tosatto
Nature methods 18 (5), 472-481, 2021
Territorial dynamics of Mexican Ant‐thrushes Formicarius moniliger revealed by individual recognition of their songs
ANG Kirschel, ML Cody, ZT Harlow, VJ Promponas, EE Vallejo, CE Taylor
Ibis 153 (2), 255-268, 2011
PRED-GPCR: GPCR recognition and family classification server
PK Papasaikas, PG Bagos, ZI Litou, VJ Promponas, SJ Hamodrakas
Nucleic acids research 32 (suppl_2), W380-W382, 2004
Disentangling the complexity of low complexity proteins
P Mier, L Paladin, S Tamana, S Petrosian, B Hajdu-Soltész, A Urbanek, ...
Briefings in Bioinformatics 21 (2), 458-472, 2020
PRED‐CLASS: Cascading neural networks for generalized protein classification and genome‐wide applications
C Pasquier, VJ Promponas, SJ Hamodrakas
Proteins: Structure, Function, and Bioinformatics 44 (3), 361-369, 2001
DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation
F Quaglia, B Mészáros, E Salladini, A Hatos, R Pancsa, LB Chemes, ...
Nucleic Acids Research 50 (D1), D480-D487, 2022
Clustering of biological time series by cepstral coefficients based distances
A Savvides, VJ Promponas, K Fokianos
Pattern Recognition 41 (7), 2398-2412, 2008
Low complexity regions in the proteins of prokaryotes perform important functional roles and are highly conserved
C Ntountoumi, P Vlastaridis, D Mossialos, C Stathopoulos, I Iliopoulos, ...
Nucleic Acids Research 47 (19), 9998-10009, 2019
Annotation inconsistencies beyond sequence similarity-based function prediction–phylogeny and genome structure
VJ Promponas, I Iliopoulos, CA Ouzounis
Standards in genomic sciences 10 (1), 108, 2015
Statistical and machine learning techniques in human microbiome studies: contemporary challenges and solutions
I Moreno-Indias, L Lahti, M Nedyalkova, I Elbere, G Roshchupkin, ...
Frontiers in Microbiology, 277, 2021
BioTextQuest+: a knowledge integration platform for literature mining and concept discovery
N Papanikolaou, GA Pavlopoulos, E Pafilis, T Theodosiou, R Schneider, ...
Bioinformatics 30 (22), 3249-3256, 2014
Biological information extraction and co-occurrence analysis
GA Pavlopoulos, VJ Promponas, CA Ouzounis, I Iliopoulos
Biomedical literature mining, 77-92, 2014
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