258 related articles for article (PubMed ID: 34792173)
1. UFold: fast and accurate RNA secondary structure prediction with deep learning.
Fu L; Cao Y; Wu J; Peng Q; Nie Q; Xie X
Nucleic Acids Res; 2022 Feb; 50(3):e14. PubMed ID: 34792173
[TBL] [Abstract][Full Text] [Related]
2. AliNA - a deep learning program for RNA secondary structure prediction.
Nasaev SS; Mukanov AR; Kuznetsov II; Veselovsky AV
Mol Inform; 2023 Dec; 42(12):e202300113. PubMed ID: 37710142
[TBL] [Abstract][Full Text] [Related]
3. TurboFold: iterative probabilistic estimation of secondary structures for multiple RNA sequences.
Harmanci AO; Sharma G; Mathews DH
BMC Bioinformatics; 2011 Apr; 12():108. PubMed ID: 21507242
[TBL] [Abstract][Full Text] [Related]
4. sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure.
Bugnon LA; Di Persia L; Gerard M; Raad J; Prochetto S; Fenoy E; Chorostecki U; Ariel F; Stegmayer G; Milone DH
Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38855913
[TBL] [Abstract][Full Text] [Related]
5. Direct Inference of Base-Pairing Probabilities with Neural Networks Improves Prediction of RNA Secondary Structures with Pseudoknots.
Akiyama M; Sakakibara Y; Sato K
Genes (Basel); 2022 Nov; 13(11):. PubMed ID: 36421829
[TBL] [Abstract][Full Text] [Related]
6. MSFF-CDCGAN: A novel method to predict RNA secondary structure based on Generative Adversarial Network.
Yuan S; Gong Y; Wang G; Zhang B; Liu Y; Zhang H
Methods; 2022 Aug; 204():368-375. PubMed ID: 35490852
[TBL] [Abstract][Full Text] [Related]
7. Comparative Study of Single-stranded Oligonucleotides Secondary Structure Prediction Tools.
Binet T; Padiolleau-Lefèvre S; Octave S; Avalle B; Maffucci I
BMC Bioinformatics; 2023 Nov; 24(1):422. PubMed ID: 37940855
[TBL] [Abstract][Full Text] [Related]
8. RNA independent fragment partition method based on deep learning for RNA secondary structure prediction.
Zhao Q; Mao Q; Zhao Z; Yuan W; He Q; Sun Q; Yao Y; Fan X
Sci Rep; 2023 Feb; 13(1):2861. PubMed ID: 36801945
[TBL] [Abstract][Full Text] [Related]
9. Length-Dependent Deep Learning Model for RNA Secondary Structure Prediction.
Mao K; Wang J; Xiao Y
Molecules; 2022 Feb; 27(3):. PubMed ID: 35164295
[TBL] [Abstract][Full Text] [Related]
10. Machine learning for RNA 2D structure prediction benchmarked on experimental data.
Justyna M; Antczak M; Szachniuk M
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37096592
[TBL] [Abstract][Full Text] [Related]
11. TransUFold: Unlocking the structural complexity of short and long RNA with pseudoknots.
Wang Y; Zhang H; Xu Z; Zhang S; Guo R
Math Biosci Eng; 2023 Oct; 20(11):19320-19340. PubMed ID: 38052602
[TBL] [Abstract][Full Text] [Related]
12. IPknot: fast and accurate prediction of RNA secondary structures with pseudoknots using integer programming.
Sato K; Kato Y; Hamada M; Akutsu T; Asai K
Bioinformatics; 2011 Jul; 27(13):i85-93. PubMed ID: 21685106
[TBL] [Abstract][Full Text] [Related]
13. An iterated loop matching approach to the prediction of RNA secondary structures with pseudoknots.
Ruan J; Stormo GD; Zhang W
Bioinformatics; 2004 Jan; 20(1):58-66. PubMed ID: 14693809
[TBL] [Abstract][Full Text] [Related]
14. Heuristic RNA pseudoknot prediction including intramolecular kissing hairpins.
Sperschneider J; Datta A; Wise MJ
RNA; 2011 Jan; 17(1):27-38. PubMed ID: 21098139
[TBL] [Abstract][Full Text] [Related]
15. AccessFold: predicting RNA-RNA interactions with consideration for competing self-structure.
DiChiacchio L; Sloma MF; Mathews DH
Bioinformatics; 2016 Apr; 32(7):1033-9. PubMed ID: 26589271
[TBL] [Abstract][Full Text] [Related]
16. Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction.
Su Y; Luo Y; Zhao X; Liu Y; Peng J
PLoS Comput Biol; 2019 Sep; 15(9):e1007283. PubMed ID: 31483777
[TBL] [Abstract][Full Text] [Related]
17. Enhancement of accuracy and efficiency for RNA secondary structure prediction by sequence segmentation and MapReduce.
Zhang B; Yehdego DT; Johnson KL; Leung MY; Taufer M
BMC Struct Biol; 2013; 13 Suppl 1(Suppl 1):S3. PubMed ID: 24564983
[TBL] [Abstract][Full Text] [Related]
18. Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learning.
Singh J; Paliwal K; Zhang T; Singh J; Litfin T; Zhou Y
Bioinformatics; 2021 Sep; 37(17):2589-2600. PubMed ID: 33704363
[TBL] [Abstract][Full Text] [Related]
19. ATTfold: RNA Secondary Structure Prediction With Pseudoknots Based on Attention Mechanism.
Wang Y; Liu Y; Wang S; Liu Z; Gao Y; Zhang H; Dong L
Front Genet; 2020; 11():612086. PubMed ID: 33384721
[TBL] [Abstract][Full Text] [Related]
20. ProbKnot: fast prediction of RNA secondary structure including pseudoknots.
Bellaousov S; Mathews DH
RNA; 2010 Oct; 16(10):1870-80. PubMed ID: 20699301
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]