Detalhe da pesquisa
1.
ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction.
Brief Bioinform
; 25(2)2024 Jan 22.
Artigo
Inglês
| MEDLINE | ID: mdl-38349057
2.
MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network.
Brief Bioinform
; 23(1)2022 01 17.
Artigo
Inglês
| MEDLINE | ID: mdl-34664074
3.
Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation.
Brief Bioinform
; 22(5)2021 09 02.
Artigo
Inglês
| MEDLINE | ID: mdl-33537753
4.
Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features.
Brief Bioinform
; 22(3)2021 05 20.
Artigo
Inglês
| MEDLINE | ID: mdl-32436937
5.
Improving protein fold recognition using triplet network and ensemble deep learning.
Brief Bioinform
; 22(6)2021 11 05.
Artigo
Inglês
| MEDLINE | ID: mdl-34226918
6.
TGSA: protein-protein association-based twin graph neural networks for drug response prediction with similarity augmentation.
Bioinformatics
; 38(2): 461-468, 2022 01 03.
Artigo
Inglês
| MEDLINE | ID: mdl-34559177
7.
GCmapCrys: Integrating graph attention network with predicted contact map for multi-stage protein crystallization propensity prediction.
Anal Biochem
; 663: 115020, 2023 02 15.
Artigo
Inglês
| MEDLINE | ID: mdl-36521558
8.
Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction.
PLoS Comput Biol
; 18(12): e1010793, 2022 12.
Artigo
Inglês
| MEDLINE | ID: mdl-36548439
9.
TargetDBP+: Enhancing the Performance of Identifying DNA-Binding Proteins via Weighted Convolutional Features.
J Chem Inf Model
; 61(1): 505-515, 2021 01 25.
Artigo
Inglês
| MEDLINE | ID: mdl-33410688
10.
SSCpred: Single-Sequence-Based Protein Contact Prediction Using Deep Fully Convolutional Network.
J Chem Inf Model
; 60(6): 3295-3303, 2020 06 22.
Artigo
Inglês
| MEDLINE | ID: mdl-32338512
11.
DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines.
J Chem Inf Model
; 59(6): 3057-3071, 2019 06 24.
Artigo
Inglês
| MEDLINE | ID: mdl-30943723
12.
Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction.
Comput Biol Med
; 166: 107529, 2023 Sep 20.
Artigo
Inglês
| MEDLINE | ID: mdl-37748220
13.
Spatial and Temporal Evolutionary Characteristics and Its Influencing Factors of Economic Spatial Polarization in the Yangtze River Delta Region.
Int J Environ Res Public Health
; 19(12)2022 06 07.
Artigo
Inglês
| MEDLINE | ID: mdl-35742246
14.
TargetMM: Accurate Missense Mutation Prediction by Utilizing Local and Global Sequence Information with Classifier Ensemble.
Comb Chem High Throughput Screen
; 25(1): 38-52, 2022.
Artigo
Inglês
| MEDLINE | ID: mdl-33280588
15.
TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction.
Genomics Proteomics Bioinformatics
; 20(5): 1013-1027, 2022 10.
Artigo
Inglês
| MEDLINE | ID: mdl-35568117
16.
MutTMPredictor: Robust and accurate cascade XGBoost classifier for prediction of mutations in transmembrane proteins.
Comput Struct Biotechnol J
; 19: 6400-6416, 2021.
Artigo
Inglês
| MEDLINE | ID: mdl-34938415
17.
TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning.
IEEE/ACM Trans Comput Biol Bioinform
; 17(4): 1419-1429, 2020.
Artigo
Inglês
| MEDLINE | ID: mdl-30668479
18.
Boosting Granular Support Vector Machines for the Accurate Prediction of Protein-Nucleotide Binding Sites.
Comb Chem High Throughput Screen
; 22(7): 455-469, 2019.
Artigo
Inglês
| MEDLINE | ID: mdl-31553288
19.
[Two-dimensional measurement of blood flow velocity in rat arteries based on ultrasonic particle image velocimetry].
Nan Fang Yi Ke Da Xue Xue Bao
; 34(9): 1305-9, 2014 Aug.
Artigo
Chinês
| MEDLINE | ID: mdl-25263364
20.
[A new method for predicting anterior chamber depth in intraocular lens implantation].
Nan Fang Yi Ke Da Xue Xue Bao
; 31(11): 1895-9, 2011 Nov.
Artigo
Chinês
| MEDLINE | ID: mdl-22126774