Detalhe da pesquisa
1.
A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues.
J Biomed Inform
; 113: 103627, 2021 01.
Artigo
Inglês
| MEDLINE | ID: mdl-33259944
2.
SPRINT-Gly: predicting N- and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties.
Bioinformatics
; 35(20): 4140-4146, 2019 10 15.
Artigo
Inglês
| MEDLINE | ID: mdl-30903686
3.
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences.
Bioinformatics
; 35(19): 3831-3833, 2019 10 01.
Artigo
Inglês
| MEDLINE | ID: mdl-30850831
4.
Predicting protein-peptide binding sites with a deep convolutional neural network.
J Theor Biol
; 496: 110278, 2020 07 07.
Artigo
Inglês
| MEDLINE | ID: mdl-32298689
5.
GlyStruct: glycation prediction using structural properties of amino acid residues.
BMC Bioinformatics
; 19(Suppl 13): 547, 2019 Feb 04.
Artigo
Inglês
| MEDLINE | ID: mdl-30717650
6.
EvolStruct-Phogly: incorporating structural properties and evolutionary information from profile bigrams for the phosphoglycerylation prediction.
BMC Genomics
; 19(Suppl 9): 984, 2019 Apr 18.
Artigo
Inglês
| MEDLINE | ID: mdl-30999859
7.
HseSUMO: Sumoylation site prediction using half-sphere exposures of amino acids residues.
BMC Genomics
; 19(Suppl 9): 982, 2019 Apr 18.
Artigo
Inglês
| MEDLINE | ID: mdl-30999862
8.
CFSBoost: Cumulative feature subspace boosting for drug-target interaction prediction.
J Theor Biol
; 464: 1-8, 2019 03 07.
Artigo
Inglês
| MEDLINE | ID: mdl-30578798
9.
iProtGly-SS: Identifying protein glycation sites using sequence and structure based features.
Proteins
; 86(7): 777-789, 2018 07.
Artigo
Inglês
| MEDLINE | ID: mdl-29675975
10.
SPIN2: Predicting sequence profiles from protein structures using deep neural networks.
Proteins
; 86(6): 629-633, 2018 06.
Artigo
Inglês
| MEDLINE | ID: mdl-29508448
11.
Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction.
BMC Genomics
; 19(Suppl 1): 923, 2018 01 19.
Artigo
Inglês
| MEDLINE | ID: mdl-29363424
12.
EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features.
J Theor Biol
; 443: 138-146, 2018 04 14.
Artigo
Inglês
| MEDLINE | ID: mdl-29421211
13.
SumSec: Accurate Prediction of Sumoylation Sites Using Predicted Secondary Structure.
Molecules
; 23(12)2018 Dec 10.
Artigo
Inglês
| MEDLINE | ID: mdl-30544729
14.
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins.
Bioinformatics
; 32(6): 843-9, 2016 03 15.
Artigo
Inglês
| MEDLINE | ID: mdl-26568622
15.
SucStruct: Prediction of succinylated lysine residues by using structural properties of amino acids.
Anal Biochem
; 527: 24-32, 2017 06 15.
Artigo
Inglês
| MEDLINE | ID: mdl-28363440
16.
iPHLoc-ES: Identification of bacteriophage protein locations using evolutionary and structural features.
J Theor Biol
; 435: 229-237, 2017 12 21.
Artigo
Inglês
| MEDLINE | ID: mdl-28943403
17.
PSSM-Suc: Accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction.
J Theor Biol
; 425: 97-102, 2017 07 21.
Artigo
Inglês
| MEDLINE | ID: mdl-28483566
18.
Improving protein fold recognition and structural class prediction accuracies using physicochemical properties of amino acids.
J Theor Biol
; 402: 117-28, 2016 08 07.
Artigo
Inglês
| MEDLINE | ID: mdl-27164998
19.
Protein fold recognition using HMM-HMM alignment and dynamic programming.
J Theor Biol
; 393: 67-74, 2016 Mar 21.
Artigo
Inglês
| MEDLINE | ID: mdl-26801876
20.
Gram-positive and Gram-negative subcellular localization using rotation forest and physicochemical-based features.
BMC Bioinformatics
; 16 Suppl 4: S1, 2015.
Artigo
Inglês
| MEDLINE | ID: mdl-25734546