193 related articles for article (PubMed ID: 25028675)
1. An empirical study of different approaches for protein classification.
Nanni L; Lumini A; Brahnam S
ScientificWorldJournal; 2014; 2014():236717. PubMed ID: 25028675
[TBL] [Abstract][Full Text] [Related]
2. An empirical study on the matrix-based protein representations and their combination with sequence-based approaches.
Nanni L; Lumini A; Brahnam S
Amino Acids; 2013 Mar; 44(3):887-901. PubMed ID: 23108592
[TBL] [Abstract][Full Text] [Related]
3. High performance set of PseAAC and sequence based descriptors for protein classification.
Nanni L; Brahnam S; Lumini A
J Theor Biol; 2010 Sep; 266(1):1-10. PubMed ID: 20558184
[TBL] [Abstract][Full Text] [Related]
4. Set of approaches based on 3D structure and position specific-scoring matrix for predicting DNA-binding proteins.
Nanni L; Brahnam S
Bioinformatics; 2019 Jun; 35(11):1844-1851. PubMed ID: 30395157
[TBL] [Abstract][Full Text] [Related]
5. Prediction of protein structure classes by incorporating different protein descriptors into general Chou's pseudo amino acid composition.
Nanni L; Brahnam S; Lumini A
J Theor Biol; 2014 Nov; 360():109-116. PubMed ID: 25026218
[TBL] [Abstract][Full Text] [Related]
6. Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.
Walia RR; Caragea C; Lewis BA; Towfic F; Terribilini M; El-Manzalawy Y; Dobbs D; Honavar V
BMC Bioinformatics; 2012 May; 13():89. PubMed ID: 22574904
[TBL] [Abstract][Full Text] [Related]
7. SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.
Melvin I; Ie E; Kuang R; Weston J; Stafford WN; Leslie C
BMC Bioinformatics; 2007 May; 8 Suppl 4(Suppl 4):S2. PubMed ID: 17570145
[TBL] [Abstract][Full Text] [Related]
8. Classification of protein quaternary structure with support vector machine.
Zhang SW; Pan Q; Zhang HC; Zhang YL; Wang HY
Bioinformatics; 2003 Dec; 19(18):2390-6. PubMed ID: 14668222
[TBL] [Abstract][Full Text] [Related]
9. Protein classification using texture descriptors extracted from the protein backbone image.
Nanni L; Shi JY; Brahnam S; Lumini A
J Theor Biol; 2010 Jun; 264(3):1024-32. PubMed ID: 20307550
[TBL] [Abstract][Full Text] [Related]
10. A set of descriptors for identifying the protein-drug interaction in cellular networking.
Nanni L; Lumini A; Brahnam S
J Theor Biol; 2014 Oct; 359():120-8. PubMed ID: 24949993
[TBL] [Abstract][Full Text] [Related]
11. Texture Descriptors Ensembles Enable Image-Based Classification of Maturation of Human Stem Cell-Derived Retinal Pigmented Epithelium.
Nanni L; Paci M; dos Santos FL; Skottman H; Juuti-Uusitalo K; Hyttinen J
PLoS One; 2016; 11(2):e0149399. PubMed ID: 26895509
[TBL] [Abstract][Full Text] [Related]
12. Structural classification of proteins using texture descriptors extracted from the cellular automata image.
Kavianpour H; Vasighi M
Amino Acids; 2017 Feb; 49(2):261-271. PubMed ID: 27778167
[TBL] [Abstract][Full Text] [Related]
13. Application of latent semantic analysis to protein remote homology detection.
Dong QW; Wang XL; Lin L
Bioinformatics; 2006 Feb; 22(3):285-90. PubMed ID: 16317074
[TBL] [Abstract][Full Text] [Related]
14. DescFold: a web server for protein fold recognition.
Yan RX; Si JN; Wang C; Zhang Z
BMC Bioinformatics; 2009 Dec; 10():416. PubMed ID: 20003426
[TBL] [Abstract][Full Text] [Related]
15. Prediction of beta-turns at over 80% accuracy based on an ensemble of predicted secondary structures and multiple alignments.
Zheng C; Kurgan L
BMC Bioinformatics; 2008 Oct; 9():430. PubMed ID: 18847492
[TBL] [Abstract][Full Text] [Related]
16. Two multi-classification strategies used on SVM to predict protein structural classes by using auto covariance.
Wu J; Li YZ; Li ML; Yu LZ
Interdiscip Sci; 2009 Dec; 1(4):315-9. PubMed ID: 20640811
[TBL] [Abstract][Full Text] [Related]
17. CrystalM: A Multi-View Fusion Approach for Protein Crystallization Prediction.
Wang Y; Ding Y; Tang J; Dai Y; Guo F
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(1):325-335. PubMed ID: 31027046
[TBL] [Abstract][Full Text] [Related]
18. A protein structural classes prediction method based on PSI-BLAST profile.
Ding S; Yan S; Qi S; Li Y; Yao Y
J Theor Biol; 2014 Jul; 353():19-23. PubMed ID: 24607742
[TBL] [Abstract][Full Text] [Related]
19. Prediction of protein structural classes for low-similarity sequences using reduced PSSM and position-based secondary structural features.
Wang J; Wang C; Cao J; Liu X; Yao Y; Dai Q
Gene; 2015 Jan; 554(2):241-8. PubMed ID: 25445293
[TBL] [Abstract][Full Text] [Related]
20. Using ensemble of classifiers for predicting HIV protease cleavage sites in proteins.
Nanni L; Lumini A
Amino Acids; 2009 Mar; 36(3):409-16. PubMed ID: 18401541
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]