MODAS statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool MODAS

Tool usage distribution map

info info

Associated diseases


Popular tool citations

chevron_left Secondary structure prediction Tertiary structure prediction chevron_right
Want to access the full stats & trends on this tool?


MODAS specifications


Unique identifier OMICS_22385
Alternative name MODular Approach to Structural class prediction
Interface Web user interface
Restrictions to use None
Input data A protein sequence.
Computer skills Basic
Stability No
Maintained No


This tool is not available anymore.

Publication for MODular Approach to Structural class prediction

MODAS citations


Physical activity in the morning and afternoon is lower in patients with chronic obstructive pulmonary disease with morning symptoms

PMCID: 5870529
PMID: 29587841
DOI: 10.1186/s12931-018-0749-4

[…] The Morning symptoms in-Depth observAtional Study (MODAS) was a single centre, observational, cross-sectional study (study NL51951.058.15; The study was conducted from September 2015 to February 2017. The medical ethics committ […]


The association between objectively measured physical activity and morning symptoms in COPD

PMCID: 5633288
PMID: 29042764
DOI: 10.2147/COPD.S143387

[…] trument. In the current study, the PRO-Morning COPD Symptoms Questionnaire was used. One previous randomized trial used this questionnaire and found a mean morning symptom severity score of 16.7. The MODAS showed a slightly higher mean morning symptom score. This could be due to a slightly different COPD population (lower FEV1, fewer males, less current smokers) or the unknown variance of the morn […]


Mercury contamination, a potential threat to the globally endangered aquatic warbler Acrocephalus paludicola

PMCID: 5719796
PMID: 28948474
DOI: 10.1007/s11356-017-0201-1

[…] ubsamples run. The precision presented as the coefficient of variation of the concentrations of duplicates or triplicates of a single sample was 5.66 (range 0.00–14.69). Certified reference materials MODAS-4 Cormorant Tissue (M-3 CornTis), MODAS-3 Herring Tissue (M-3 HerTis), and MODAS-5 Cod Tissue (M-5 CodTis) were used to determine analytical accuracy and to perform method and quality control. T […]


On the use of certified reference materials for assuring the quality of results for the determination of mercury in environmental samples

PMCID: 5384953
PMID: 27525741
DOI: 10.1007/s11356-016-7262-4

[…] imetrically by appropriate dilution of the stock standard solutions using an analytical balance (Mettler Toledo, Switzerland).Four candidates for CRMs with different matrix compositions identified as MODAS 2, MODAS 3, MODAS 4, and MODAS 5 (Institute of Nuclear Chemistry and Technology, IChTJ, Poland) (Table ) were examined for the mercury concentration. […]


Prediction of Protein Structural Class Based on Gapped Dipeptides and a Recursive Feature Selection Approach

Int J Mol Sci
PMCID: 4730262
PMID: 26712737
DOI: 10.3390/ijms17010015

[…] roaches based on PSSM include AADP-PSSM [], AAC-PSSM-AC [], Comb_11,10,6 [], LCC-PSSM [] and PSSM-SPINE-S []. The approaches based on the predicted secondary structure include SCPRED [], RKS-PPSC [], MODAS [], and PSSM-SPINE-S []. The results by jackknife tests are listed in and .For the 1189 dataset, the proposed method outperforms all other methods listed in , with an accuracy of 90.9%. It is a […]


Customised fragments libraries for protein structure prediction based on structural class annotations

BMC Bioinformatics
PMCID: 4419399
PMID: 25925397
DOI: 10.1186/s12859-015-0576-2
call_split See protocol

[…] ass annotations were predicted from sequence alone. As seen in the ‘’ section, structural class prediction is a very mature field where accuracy reaches up to 90%. Among the most competitive methods, MODAS [] - MODular Approach to Structural class prediction – is particularly suitable for our application since it is freely available online and it provides predictions for the main seven classes of […]

Want to access the full list of citations?
MODAS institution(s)
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

MODAS reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review MODAS