187 related articles for article (PubMed ID: 38744015)
21. Predicting Protein-Protein Interactions via Random Ferns with Evolutionary Matrix Representation.
Li Y; Wang Z; You ZH; Li LP; Hu X
Comput Math Methods Med; 2022; 2022():7191684. PubMed ID: 35242211
[TBL] [Abstract][Full Text] [Related]
22. CollaPPI: A Collaborative Learning Framework for Predicting Protein-Protein Interactions.
Ma W; Bi X; Jiang H; Zhang S; Wei Z
IEEE J Biomed Health Inform; 2024 May; 28(5):3167-3177. PubMed ID: 38466584
[TBL] [Abstract][Full Text] [Related]
23. Improved protein relative solvent accessibility prediction using deep multi-view feature learning framework.
Fan XQ; Hu J; Jia NX; Yu DJ; Zhang GJ
Anal Biochem; 2021 Oct; 631():114358. PubMed ID: 34478704
[TBL] [Abstract][Full Text] [Related]
24. Prediction of protein-protein interactions from protein sequence using local descriptors.
Yang L; Xia JF; Gui J
Protein Pept Lett; 2010 Sep; 17(9):1085-90. PubMed ID: 20509850
[TBL] [Abstract][Full Text] [Related]
25. Position-Wise Gated Res2Net-Based Convolutional Network with Selective Fusing for Sentiment Analysis.
Zhou J; Zeng X; Zou Y; Zhu H
Entropy (Basel); 2023 Apr; 25(5):. PubMed ID: 37238495
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest.
You ZH; Chan KC; Hu P
PLoS One; 2015; 10(5):e0125811. PubMed ID: 25946106
[TBL] [Abstract][Full Text] [Related]
28. Amalgamation of 3D structure and sequence information for protein-protein interaction prediction.
Jha K; Saha S
Sci Rep; 2020 Nov; 10(1):19171. PubMed ID: 33154416
[TBL] [Abstract][Full Text] [Related]
29. MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attention.
Zhao W; Yu Y; Liu G; Liang Y; Xu D; Feng X; Guan R
Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38762789
[TBL] [Abstract][Full Text] [Related]
30. Prediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures.
Liu GH; Shen HB; Yu DJ
J Membr Biol; 2016 Apr; 249(1-2):141-53. PubMed ID: 26563228
[TBL] [Abstract][Full Text] [Related]
31. Homology-based prediction of interactions between proteins using Averaged One-Dependence Estimators.
Murakami Y; Mizuguchi K
BMC Bioinformatics; 2014 Jun; 15():213. PubMed ID: 24953126
[TBL] [Abstract][Full Text] [Related]
32. AttentionDTA: Drug-Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism.
Zhao Q; Duan G; Yang M; Cheng Z; Li Y; Wang J
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(2):852-863. PubMed ID: 35471889
[TBL] [Abstract][Full Text] [Related]
33. Benchmark Evaluation of Protein-Protein Interaction Prediction Algorithms.
Dunham B; Ganapathiraju MK
Molecules; 2021 Dec; 27(1):. PubMed ID: 35011283
[TBL] [Abstract][Full Text] [Related]
34. Predicting protein-protein interactions through sequence-based deep learning.
Hashemifar S; Neyshabur B; Khan AA; Xu J
Bioinformatics; 2018 Sep; 34(17):i802-i810. PubMed ID: 30423091
[TBL] [Abstract][Full Text] [Related]
35. Prediction of Protein-Protein Interactions with Local Weight-Sharing Mechanism in Deep Learning.
Yang L; Han Y; Zhang H; Li W; Dai Y
Biomed Res Int; 2020; 2020():5072520. PubMed ID: 32626745
[TBL] [Abstract][Full Text] [Related]
36. Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning.
Hou Z; Yang Y; Ma Z; Wong KC; Li X
Commun Biol; 2023 Jan; 6(1):73. PubMed ID: 36653447
[TBL] [Abstract][Full Text] [Related]
37. A survey on computational models for predicting protein-protein interactions.
Hu L; Wang X; Huang YA; Hu P; You ZH
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33693513
[TBL] [Abstract][Full Text] [Related]
38. A computational model for predicting protein interactions based on multidomain collaboration.
Jang WH; Jung SH; Han DS
IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(4):1081-90. PubMed ID: 22508910
[TBL] [Abstract][Full Text] [Related]
39. Prediction of Protein-Protein Interaction via co-occurring Aligned Pattern Clusters.
Sze-To A; Fung S; Lee EA; Wong AKC
Methods; 2016 Nov; 110():26-34. PubMed ID: 27476008
[TBL] [Abstract][Full Text] [Related]
40. Critical assessment and performance improvement of plant-pathogen protein-protein interaction prediction methods.
Yang S; Li H; He H; Zhou Y; Zhang Z
Brief Bioinform; 2019 Jan; 20(1):274-287. PubMed ID: 29028906
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
