Pr[m]: An Algorithm for Protein Motif Discovery
| العنوان: | Pr[m]: An Algorithm for Protein Motif Discovery |
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| المؤلفون: | Imlimaong Aier, Rahul Semwal, Utkarsh Raj, Pritish Kumar Varadwaj |
| المصدر: | IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19:585-592 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Functional role, Computer science, Applied Mathematics, Amino Acid Motifs, Computational Biology, A protein, Sequence Analysis, DNA, Variable length, Wildcard, Genetics, Amino Acid Sequence, Motif (music), Structural motif, Algorithm, Algorithms, Biotechnology |
| الوصف: | Motifs are the evolutionarily conserved patterns which are reported to serve the crucial structural and functional role. Identification of motif patterns in a set of protein sequences has been a prime concern for researchers in computational biology. The discovery of such a protein motif using existing algorithms is purely based on the parameters derived from sequence composition and length. However, the discovery of variable length motif remains a challenging task, as it is not possible to determine the length of a motif in advance. In current work, a k-mer based motif discovery approach called Pr[m], is proposed for the detection of the statistically significant un-gapped motif patterns, with or without wildcard characters. In order to analyze the performance of the proposed approach, a comparative study was performed with MEME and GLAM2, which are two widely used non-discriminative methods for motif discovery. A set of 7,500 test dataset were used to compare the performance of the proposed tool and the ones mentioned above. Pr[m] outperformed the existing methods in terms of predictive quality and performance. The proposed approach is hosted at https://bioserver.iiita.ac.in/Pr[m]. |
| تدمد: | 2374-0043 1545-5963 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d75d85c9e9fefd29c2b1104df6e4d6a https://doi.org/10.1109/tcbb.2020.2999262 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi.dedup.....4d75d85c9e9fefd29c2b1104df6e4d6a |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 23740043 15455963 |
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