221 related articles for article (PubMed ID: 34226918)
41. Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores.
Yan K; Wen J; Liu JX; Xu Y; Liu B
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(5):2008-2016. PubMed ID: 31940548
[TBL] [Abstract][Full Text] [Related]
42. 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]
43. Improved Protein Structure Prediction Using a New Multi-Scale Network and Homologous Templates.
Su H; Wang W; Du Z; Peng Z; Gao SH; Cheng MM; Yang J
Adv Sci (Weinh); 2021 Dec; 8(24):e2102592. PubMed ID: 34719864
[TBL] [Abstract][Full Text] [Related]
44. A machine learning information retrieval approach to protein fold recognition.
Cheng J; Baldi P
Bioinformatics; 2006 Jun; 22(12):1456-63. PubMed ID: 16547073
[TBL] [Abstract][Full Text] [Related]
45. SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues.
Zhang B; Hou Z; Yang Y; Wong KC; Zhu H; Li X
Commun Biol; 2024 Jun; 7(1):679. PubMed ID: 38830995
[TBL] [Abstract][Full Text] [Related]
46. ProtFold-DFG: protein fold recognition by combining Directed Fusion Graph and PageRank algorithm.
Shao J; Liu B
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32892224
[TBL] [Abstract][Full Text] [Related]
47. SAResNet: self-attention residual network for predicting DNA-protein binding.
Shen LC; Liu Y; Song J; Yu DJ
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33837387
[TBL] [Abstract][Full Text] [Related]
48. NeBcon: protein contact map prediction using neural network training coupled with naïve Bayes classifiers.
He B; Mortuza SM; Wang Y; Shen HB; Zhang Y
Bioinformatics; 2017 Aug; 33(15):2296-2306. PubMed ID: 28369334
[TBL] [Abstract][Full Text] [Related]
49. Topology Prediction Improvement of α-helical Transmembrane Proteins Through Helix-tail Modeling and Multiscale Deep Learning Fusion.
Feng SH; Zhang WX; Yang J; Yang Y; Shen HB
J Mol Biol; 2020 Feb; 432(4):1279-1296. PubMed ID: 31870850
[TBL] [Abstract][Full Text] [Related]
50. Combination of deep neural network with attention mechanism enhances the explainability of protein contact prediction.
Chen C; Wu T; Guo Z; Cheng J
Proteins; 2021 Jun; 89(6):697-707. PubMed ID: 33538038
[TBL] [Abstract][Full Text] [Related]
51. Triplet Deep Hashing with Joint Supervised Loss Based on Deep Neural Networks.
Li M; An Z; Wei Q; Xiang K; Ma Y
Comput Intell Neurosci; 2019; 2019():8490364. PubMed ID: 31687007
[TBL] [Abstract][Full Text] [Related]
52. DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding.
Zeng M; Wu Y; Lu C; Zhang F; Wu FX; Li M
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34498677
[TBL] [Abstract][Full Text] [Related]
53. Protein-ligand binding residue prediction enhancement through hybrid deep heterogeneous learning of sequence and structure data.
Xia CQ; Pan X; Shen HB
Bioinformatics; 2020 May; 36(10):3018-3027. PubMed ID: 32091580
[TBL] [Abstract][Full Text] [Related]
54. Inter-domain distance prediction based on deep learning for domain assembly.
Ge F; Peng C; Cui X; Xia Y; Zhang G
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 36920090
[TBL] [Abstract][Full Text] [Related]
55. Protein-fold recognition using an improved single-source K diverse shortest paths algorithm.
Lhota J; Xie L
Proteins; 2016 Apr; 84(4):467-72. PubMed ID: 26800480
[TBL] [Abstract][Full Text] [Related]
56. 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]
57. Prediction of 8-state protein secondary structures by a novel deep learning architecture.
Zhang B; Li J; Lü Q
BMC Bioinformatics; 2018 Aug; 19(1):293. PubMed ID: 30075707
[TBL] [Abstract][Full Text] [Related]
58. Convolutional neural networks with image representation of amino acid sequences for protein function prediction.
Sara ST; Hasan MM; Ahmad A; Shatabda S
Comput Biol Chem; 2021 Jun; 92():107494. PubMed ID: 33930742
[TBL] [Abstract][Full Text] [Related]
59. DNCON2: improved protein contact prediction using two-level deep convolutional neural networks.
Adhikari B; Hou J; Cheng J
Bioinformatics; 2018 May; 34(9):1466-1472. PubMed ID: 29228185
[TBL] [Abstract][Full Text] [Related]
60. Sequence representation approaches for sequence-based protein prediction tasks that use deep learning.
Cui F; Zhang Z; Zou Q
Brief Funct Genomics; 2021 Mar; 20(1):61-73. PubMed ID: 33527980
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]