Detalhe da pesquisa
1.
HybridDBRpred: improved sequence-based prediction of DNA-binding amino acids using annotations from structured complexes and disordered proteins.
Nucleic Acids Res
; 52(2): e10, 2024 Jan 25.
Artigo
Inglês
| MEDLINE | ID: mdl-38048333
2.
DescribePROT in 2023: more, higher-quality and experimental annotations and improved data download options.
Nucleic Acids Res
; 52(D1): D426-D433, 2024 Jan 05.
Artigo
Inglês
| MEDLINE | ID: mdl-37933852
3.
A comprehensive assessment and comparison of tools for HLA class I peptide-binding prediction.
Brief Bioinform
; 24(3)2023 05 19.
Artigo
Inglês
| MEDLINE | ID: mdl-37068304
4.
CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information.
Brief Bioinform
; 24(1)2023 01 19.
Artigo
Inglês
| MEDLINE | ID: mdl-36458437
5.
ProsperousPlus: a one-stop and comprehensive platform for accurate protease-specific substrate cleavage prediction and machine-learning model construction.
Brief Bioinform
; 24(6)2023 09 22.
Artigo
Inglês
| MEDLINE | ID: mdl-37874948
6.
DEPICTER2: a comprehensive webserver for intrinsic disorder and disorder function prediction.
Nucleic Acids Res
; 51(W1): W141-W147, 2023 07 05.
Artigo
Inglês
| MEDLINE | ID: mdl-37140058
7.
HybridRNAbind: prediction of RNA interacting residues across structure-annotated and disorder-annotated proteins.
Nucleic Acids Res
; 51(5): e25, 2023 03 21.
Artigo
Inglês
| MEDLINE | ID: mdl-36629262
8.
DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning.
Brief Bioinform
; 23(1)2022 01 17.
Artigo
Inglês
| MEDLINE | ID: mdl-34905768
9.
iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets.
Nucleic Acids Res
; 50(W1): W434-W447, 2022 07 05.
Artigo
Inglês
| MEDLINE | ID: mdl-35524557
10.
DNAgenie: accurate prediction of DNA-type-specific binding residues in protein sequences.
Brief Bioinform
; 22(6)2021 11 05.
Artigo
Inglês
| MEDLINE | ID: mdl-34415020
11.
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions.
Brief Bioinform
; 22(3)2021 05 20.
Artigo
Inglês
| MEDLINE | ID: mdl-32459334
12.
Resources for computational prediction of intrinsic disorder in proteins.
Methods
; 204: 132-141, 2022 08.
Artigo
Inglês
| MEDLINE | ID: mdl-35367597
13.
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization.
Nucleic Acids Res
; 49(10): e60, 2021 06 04.
Artigo
Inglês
| MEDLINE | ID: mdl-33660783
14.
DescribePROT: database of amino acid-level protein structure and function predictions.
Nucleic Acids Res
; 49(D1): D298-D308, 2021 01 08.
Artigo
Inglês
| MEDLINE | ID: mdl-33119734
15.
Accuracy of protein-level disorder predictions.
Brief Bioinform
; 21(5): 1509-1522, 2020 09 25.
Artigo
Inglês
| MEDLINE | ID: mdl-31616935
16.
XRRpred: accurate predictor of crystal structure quality from protein sequence.
Bioinformatics
; 37(23): 4366-4374, 2021 12 07.
Artigo
Inglês
| MEDLINE | ID: mdl-34247234
17.
DisoLipPred: accurate prediction of disordered lipid-binding residues in protein sequences with deep recurrent networks and transfer learning.
Bioinformatics
; 38(1): 115-124, 2021 12 22.
Artigo
Inglês
| MEDLINE | ID: mdl-34487138
18.
IDPology of the living cell: intrinsic disorder in the subcellular compartments of the human cell.
Cell Mol Life Sci
; 78(5): 2371-2385, 2021 Mar.
Artigo
Inglês
| MEDLINE | ID: mdl-32997198
19.
Structures of MERS-CoV macro domain in aqueous solution with dynamics: Impacts of parallel tempering simulation techniques and CHARMM36m and AMBER99SB force field parameters.
Proteins
; 89(10): 1289-1299, 2021 10.
Artigo
Inglês
| MEDLINE | ID: mdl-34008220
20.
Review and comparative assessment of similarity-based methods for prediction of drug-protein interactions in the druggable human proteome.
Brief Bioinform
; 20(6): 2066-2087, 2019 11 27.
Artigo
Inglês
| MEDLINE | ID: mdl-30102367