These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
151 related articles for article (PubMed ID: 31526842)
1. Pred-BVP-Unb: Fast prediction of bacteriophage Virion proteins using un-biased multi-perspective properties with recursive feature elimination. Arif M; Ali F; Ahmad S; Kabir M; Ali Z; Hayat M Genomics; 2020 Mar; 112(2):1565-1574. PubMed ID: 31526842 [TBL] [Abstract][Full Text] [Related]
2. Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree. Pan Y; Gao H; Lin H; Liu Z; Tang L; Li S Int J Mol Sci; 2018 Jun; 19(6):. PubMed ID: 29914091 [TBL] [Abstract][Full Text] [Related]
3. Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation. Charoenkwan P; Nantasenamat C; Hasan MM; Shoombuatong W J Comput Aided Mol Des; 2020 Oct; 34(10):1105-1116. PubMed ID: 32557165 [TBL] [Abstract][Full Text] [Related]
4. iPHLoc-ES: Identification of bacteriophage protein locations using evolutionary and structural features. Shatabda S; Saha S; Sharma A; Dehzangi A J Theor Biol; 2017 Dec; 435():229-237. PubMed ID: 28943403 [TBL] [Abstract][Full Text] [Related]
5. Prediction of Protein Structural Class Based on Gapped-Dipeptides and a Recursive Feature Selection Approach. Liu T; Qin Y; Wang Y; Wang C Int J Mol Sci; 2015 Dec; 17(1):. PubMed ID: 26712737 [TBL] [Abstract][Full Text] [Related]
6. PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine. Manavalan B; Shin TH; Lee G Front Microbiol; 2018; 9():476. PubMed ID: 29616000 [TBL] [Abstract][Full Text] [Related]
7. Recent Advances of Computational Methods for Identifying Bacteriophage Virion Proteins. Chen W; Nie F; Ding H Protein Pept Lett; 2020; 27(4):259-264. PubMed ID: 30968770 [TBL] [Abstract][Full Text] [Related]
8. DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information. Ali F; Ahmed S; Swati ZNK; Akbar S J Comput Aided Mol Des; 2019 Jul; 33(7):645-658. PubMed ID: 31123959 [TBL] [Abstract][Full Text] [Related]
9. SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins. Ahmad S; Charoenkwan P; Quinn JMW; Moni MA; Hasan MM; Lio' P; Shoombuatong W Sci Rep; 2022 Mar; 12(1):4106. PubMed ID: 35260777 [TBL] [Abstract][Full Text] [Related]
10. An Ensemble Method to Distinguish Bacteriophage Virion from Non-Virion Proteins Based on Protein Sequence Characteristics. Zhang L; Zhang C; Gao R; Yang R Int J Mol Sci; 2015 Sep; 16(9):21734-58. PubMed ID: 26370987 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. Identification of amyloidogenic peptides via optimized integrated features space based on physicochemical properties and PSSM. Zhou C; Liu S; Zhang S Anal Biochem; 2019 Oct; 583():113362. PubMed ID: 31310738 [TBL] [Abstract][Full Text] [Related]
13. iDNAProt-ES: Identification of DNA-binding Proteins Using Evolutionary and Structural Features. Chowdhury SY; Shatabda S; Dehzangi A Sci Rep; 2017 Nov; 7(1):14938. PubMed ID: 29097781 [TBL] [Abstract][Full Text] [Related]
14. OH-PRED: prediction of protein hydroxylation sites by incorporating adapted normal distribution bi-profile Bayes feature extraction and physicochemical properties of amino acids. Jia CZ; He WY; Yao YH J Biomol Struct Dyn; 2017 Mar; 35(4):829-835. PubMed ID: 26957000 [TBL] [Abstract][Full Text] [Related]
15. Formator: Predicting Lysine Formylation Sites Based on the Most Distant Undersampling and Safe-Level Synthetic Minority Oversampling. Jia C; Zhang M; Fan C; Li F; Song J IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(5):1937-1945. PubMed ID: 31804942 [TBL] [Abstract][Full Text] [Related]
16. MitProt-Pred: Predicting mitochondrial proteins of Plasmodium falciparum parasite using diverse physiochemical properties and ensemble classification. Mirza MT; Khan A; Tahir M; Lee YS Comput Biol Med; 2013 Oct; 43(10):1502-11. PubMed ID: 24034742 [TBL] [Abstract][Full Text] [Related]
17. Prediction of Phage Virion Proteins Using Machine Learning Methods. Barman RK; Chakrabarti AK; Dutta S Molecules; 2023 Feb; 28(5):. PubMed ID: 36903484 [TBL] [Abstract][Full Text] [Related]
18. LZW-Kernel: fast kernel utilizing variable length code blocks from LZW compressors for protein sequence classification. Filatov G; Bauwens B; Kertész-Farkas A Bioinformatics; 2018 Oct; 34(19):3281-3288. PubMed ID: 29741583 [TBL] [Abstract][Full Text] [Related]
19. OOgenesis_Pred: A sequence-based method for predicting oogenesis proteins by six different modes of Chou's pseudo amino acid composition. Rahimi M; Bakhtiarizadeh MR; Mohammadi-Sangcheshmeh A J Theor Biol; 2017 Feb; 414():128-136. PubMed ID: 27916703 [TBL] [Abstract][Full Text] [Related]
20. Identification of Phage Viral Proteins With Hybrid Sequence Features. Ru X; Li L; Wang C Front Microbiol; 2019; 10():507. PubMed ID: 30972038 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]