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Tally-2.0: upgraded validator of tandem repeat detection in protein sequences

Authorized Users Only
2020
Authors
Perović, Vladimir R.
Leclercq, Jeremy Y
Šumonja, Neven
Richard, Francois D
Veljković, Nevena V.
Kajava, Andrey V.
Article (Published version)
,
© 2020 The Author(s). Published by Oxford University Press.
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Abstract
Motivation: Proteins containing tandem repeats (TRs) are abundant, frequently fold in elongated non-globular structures and perform vital functions. A number of computational tools have been developed to detect TRs in protein sequences. A blurred boundary between imperfect TR motifs and non-repetitive sequences gave rise to necessity to validate the detected TRs. Results: Tally-2.0 is a scoring tool based on a machine learning (ML) approach, which allows to validate the results of TR detection. It was upgraded by using improved training datasets and additional ML features. Tally-2.0 performs at a level of 93% sensitivity, 83% specificity and an area under the receiver operating characteristic curve of 95%.
Source:
Bioinformatics, 2020, 36, 10, 3260-3262
Funding / projects:
  • H2020-MSCA-RISE project REFRACT [GA No. 823886]
  • National Institute of Allergy and Infectious Diseases [Research Grant 1R01AI12123701]
  • Application of the EIIP/ISM bioinformatics platform in discovery of novel therapeutic targets and potential therapeutic molecules (RS-173001)

DOI: 10.1093/bioinformatics/btaa121

ISSN: 1367-4803

PubMed: 32096820

WoS: 000537447900045

Scopus: 2-s2.0-85084695735
[ Google Scholar ]
1
1
URI
https://vinar.vin.bg.ac.rs/handle/123456789/8997
Collections
  • Radovi istraživača
  • 180 - Laboratorija za bioinformatiku i računarsku hemiju
Institution/Community
Vinča
TY  - JOUR
AU  - Perović, Vladimir R.
AU  - Leclercq, Jeremy Y
AU  - Šumonja, Neven
AU  - Richard, Francois D
AU  - Veljković, Nevena V.
AU  - Kajava, Andrey V.
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8997
AB  - Motivation: Proteins containing tandem repeats (TRs) are abundant, frequently fold in elongated non-globular structures and perform vital functions. A number of computational tools have been developed to detect TRs in protein sequences. A blurred boundary between imperfect TR motifs and non-repetitive sequences gave rise to necessity to validate the detected TRs. Results: Tally-2.0 is a scoring tool based on a machine learning (ML) approach, which allows to validate the results of TR detection. It was upgraded by using improved training datasets and additional ML features. Tally-2.0 performs at a level of 93% sensitivity, 83% specificity and an area under the receiver operating characteristic curve of 95%.
T2  - Bioinformatics
T1  - Tally-2.0: upgraded validator of tandem repeat detection in protein sequences
VL  - 36
IS  - 10
SP  - 3260
EP  - 3262
DO  - 10.1093/bioinformatics/btaa121
ER  - 
@article{
author = "Perović, Vladimir R. and Leclercq, Jeremy Y and Šumonja, Neven and Richard, Francois D and Veljković, Nevena V. and Kajava, Andrey V.",
year = "2020",
abstract = "Motivation: Proteins containing tandem repeats (TRs) are abundant, frequently fold in elongated non-globular structures and perform vital functions. A number of computational tools have been developed to detect TRs in protein sequences. A blurred boundary between imperfect TR motifs and non-repetitive sequences gave rise to necessity to validate the detected TRs. Results: Tally-2.0 is a scoring tool based on a machine learning (ML) approach, which allows to validate the results of TR detection. It was upgraded by using improved training datasets and additional ML features. Tally-2.0 performs at a level of 93% sensitivity, 83% specificity and an area under the receiver operating characteristic curve of 95%.",
journal = "Bioinformatics",
title = "Tally-2.0: upgraded validator of tandem repeat detection in protein sequences",
volume = "36",
number = "10",
pages = "3260-3262",
doi = "10.1093/bioinformatics/btaa121"
}
Perović, V. R., Leclercq, J. Y., Šumonja, N., Richard, F. D., Veljković, N. V.,& Kajava, A. V.. (2020). Tally-2.0: upgraded validator of tandem repeat detection in protein sequences. in Bioinformatics, 36(10), 3260-3262.
https://doi.org/10.1093/bioinformatics/btaa121
Perović VR, Leclercq JY, Šumonja N, Richard FD, Veljković NV, Kajava AV. Tally-2.0: upgraded validator of tandem repeat detection in protein sequences. in Bioinformatics. 2020;36(10):3260-3262.
doi:10.1093/bioinformatics/btaa121 .
Perović, Vladimir R., Leclercq, Jeremy Y, Šumonja, Neven, Richard, Francois D, Veljković, Nevena V., Kajava, Andrey V., "Tally-2.0: upgraded validator of tandem repeat detection in protein sequences" in Bioinformatics, 36, no. 10 (2020):3260-3262,
https://doi.org/10.1093/bioinformatics/btaa121 . .

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