125 related articles for article (PubMed ID: 30395157)
1. 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]
2. 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]
3. 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]
4. Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition.
Qiu W; Li S; Cui X; Yu Z; Wang M; Du J; Peng Y; Yu B
J Theor Biol; 2018 Aug; 450():86-103. PubMed ID: 29678694
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. 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]
9. PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein-Protein Interactions from Protein Sequences.
Wang Y; You Z; Li X; Chen X; Jiang T; Zhang J
Int J Mol Sci; 2017 May; 18(5):. PubMed ID: 28492483
[TBL] [Abstract][Full Text] [Related]
10. Improved detection of DNA-binding proteins via compression technology on PSSM information.
Wang Y; Ding Y; Guo F; Wei L; Tang J
PLoS One; 2017; 12(9):e0185587. PubMed ID: 28961273
[TBL] [Abstract][Full Text] [Related]
11. SDBP-Pred: Prediction of single-stranded and double-stranded DNA-binding proteins by extending consensus sequence and K-segmentation strategies into PSSM.
Ali F; Arif M; Khan ZU; Kabir M; Ahmed S; Yu DJ
Anal Biochem; 2020 Jan; 589():113494. PubMed ID: 31693872
[TBL] [Abstract][Full Text] [Related]
12. DPP-PseAAC: A DNA-binding protein prediction model using Chou's general PseAAC.
Rahman MS; Shatabda S; Saha S; Kaykobad M; Rahman MS
J Theor Biol; 2018 Sep; 452():22-34. PubMed ID: 29753757
[TBL] [Abstract][Full Text] [Related]
13. Bioimage Classification with Handcrafted and Learned Features.
Nanni L; Brahnam S; Ghidoni S; Lumini A
IEEE/ACM Trans Comput Biol Bioinform; 2018 Mar; ():. PubMed ID: 29994096
[TBL] [Abstract][Full Text] [Related]
14. Target-DBPPred: An intelligent model for prediction of DNA-binding proteins using discrete wavelet transform based compression and light eXtreme gradient boosting.
Ali F; Kumar H; Patil S; Kotecha K; Banjar A; Daud A
Comput Biol Med; 2022 Jun; 145():105533. PubMed ID: 35447463
[TBL] [Abstract][Full Text] [Related]
15. Using discriminative vector machine model with 2DPCA to predict interactions among proteins.
Li Z; Nie R; You Z; Cao C; Li J
BMC Bioinformatics; 2019 Dec; 20(Suppl 25):694. PubMed ID: 31874626
[TBL] [Abstract][Full Text] [Related]
16. StackDPPred: a stacking based prediction of DNA-binding protein from sequence.
Mishra A; Pokhrel P; Hoque MT
Bioinformatics; 2019 Feb; 35(3):433-441. PubMed ID: 30032213
[TBL] [Abstract][Full Text] [Related]
17. TargetDBP+: Enhancing the Performance of Identifying DNA-Binding Proteins via Weighted Convolutional Features.
Hu J; Rao L; Zhu YH; Zhang GJ; Yu DJ
J Chem Inf Model; 2021 Jan; 61(1):505-515. PubMed ID: 33410688
[TBL] [Abstract][Full Text] [Related]
18. Predictions of Apoptosis Proteins by Integrating Different Features Based on Improving Pseudo-Position-Specific Scoring Matrix.
Ruan X; Zhou D; Nie R; Guo Y
Biomed Res Int; 2020; 2020():4071508. PubMed ID: 32420339
[TBL] [Abstract][Full Text] [Related]
19. RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences.
An JY; You ZH; Meng FR; Xu SJ; Wang Y
Int J Mol Sci; 2016 May; 17(5):. PubMed ID: 27213337
[TBL] [Abstract][Full Text] [Related]
20. Efficient utilization on PSSM combining with recurrent neural network for membrane protein types prediction.
Wang S; Li M; Guo L; Cao Z; Fei Y
Comput Biol Chem; 2019 Aug; 81():9-15. PubMed ID: 31472418
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]