Cargando…

ATPsite: sequence-based prediction of ATP-binding residues

BACKGROUND: ATP is a ubiquitous nucleotide that provides energy for cellular activities, catalyzes chemical reactions, and is involved in cellular signalling. The knowledge of the ATP-protein interactions helps with annotation of protein functions and finds applications in drug design. The sequence...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Ke, Mizianty, Marcin J, Kurgan, Lukasz
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2011
Materias:	Proceedings
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3289083/ https://www.ncbi.nlm.nih.gov/pubmed/22165846 http://dx.doi.org/10.1186/1477-5956-9-S1-S4

Ejemplares similares

Sequence-based prediction of protein crystallization, purification and production propensity
por: Mizianty, Marcin J., et al.
Publicado: (2011)

Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences
por: Mizianty, Marcin J, et al.
Publicado: (2009)

Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources
por: Mizianty, Marcin J., et al.
Publicado: (2010)

SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences
por: Zhang, Jian, et al.
Publicado: (2019)

MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins
por: Disfani, Fatemeh Miri, et al.
Publicado: (2012)

CRYSTALP2: sequence-based protein crystallization propensity prediction
por: Kurgan, Lukasz, et al.
Publicado: (2009)

Prediction of heme binding residues from protein sequences with integrative sequence profiles
por: Xiong, Yi, et al.
Publicado: (2012)

Predicting RNA-binding residues from evolutionary information and sequence conservation
por: Huang, Yu-Feng, et al.
Publicado: (2010)

DRNApred, fast sequence-based method that accurately predicts and discriminates DNA- and RNA-binding residues
por: Yan, Jing, et al.
Publicado: (2017)

DNA-binding residues and binding mode prediction with binding-mechanism concerned models
por: Huang, Yu-Feng, et al.
Publicado: (2009)

MFDp2: Accurate predictor of disorder in proteins by fusion of disorder probabilities, content and profiles
por: Mizianty, Marcin J., et al.
Publicado: (2013)

In-silico prediction of disorder content using hybrid sequence representation
por: Mizianty, Marcin J, et al.
Publicado: (2011)

Sequence based residue depth prediction using evolutionary information and predicted secondary structure
por: Zhang, Hua, et al.
Publicado: (2008)

Integrating peptides' sequence and energy of contact residues information improves prediction of peptide and HLA-I binding with unknown alleles
por: Luo, Fei, et al.
Publicado: (2013)

Accurate Sequence-Based Prediction of Deleterious nsSNPs with Multiple Sequence Profiles and Putative Binding Residues
por: Song, Ruiyang, et al.
Publicado: (2021)

LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone
por: Chen, Peng, et al.
Publicado: (2014)

Using structural motif descriptors for sequence-based binding site prediction
por: Henschel, Andreas, et al.
Publicado: (2007)

Sequence and structural features of binding site residues in protein-protein complexes: comparison with protein-nucleic acid complexes
por: Gromiha, M Michael, et al.
Publicado: (2011)

Prediction of RNA-binding amino acids from protein and RNA sequences
por: Choi, Sungwook, et al.
Publicado: (2011)

A new protein-ligand binding sites prediction method based on the integration of protein sequence conservation information
por: Dai, Tianli, et al.
Publicado: (2011)

DFLpred: High-throughput prediction of disordered flexible linker regions in protein sequences
por: Meng, Fanchi, et al.
Publicado: (2016)

SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences
por: Kurgan, Lukasz, et al.
Publicado: (2008)

A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networks
por: Eickholt, Jesse, et al.
Publicado: (2013)

Covering complete proteomes with X-ray structures: a current snapshot
por: Mizianty, Marcin J., et al.
Publicado: (2014)

Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach
por: Lin, HH, et al.
Publicado: (2006)

Comprehensive Survey and Comparative Assessment of RNA-Binding Residue Predictions with Analysis by RNA Type
por: Wang, Kui, et al.
Publicado: (2020)

Predicting DNA-binding locations and orientation on proteins using knowledge-based learning of geometric properties
por: Wang, Chien-Chih, et al.
Publicado: (2011)

Constructing patch-based ligand-binding pocket database for predicting function of proteins
por: Sael, Lee, et al.
Publicado: (2012)

PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
por: Hertz, Tomer, et al.
Publicado: (2006)

Prediction of DNA-binding protein based on statistical and geometric features and support vector machines
por: Zhou, Weiqiang, et al.
Publicado: (2011)

qNABpredict: Quick, accurate, and taxonomy‐aware sequence‐based prediction of content of nucleic acid binding amino acids
por: Wu, Zhonghua, et al.
Publicado: (2023)

Bayesian prediction of bacterial growth temperature range based on genome sequences
por: Jensen, Dan B, et al.
Publicado: (2012)

Complementarity of the residue-level protein function and structure predictions in human proteins
por: Biró, Bálint, et al.
Publicado: (2022)

Cutoff Scanning Matrix (CSM): structural classification and function prediction by protein inter-residue distance patterns
por: Pires, Douglas EV, et al.
Publicado: (2011)

Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features
por: Wang, Bing, et al.
Publicado: (2013)

A creature with a hundred waggly tails: intrinsically disordered proteins in the ribosome
por: Peng, Zhenling, et al.
Publicado: (2013)

Prediction of dinucleotide-specific RNA-binding sites in proteins
por: Fernandez, Michael, et al.
Publicado: (2011)

SeqRate: sequence-based protein folding type classification and rates prediction
por: Lin, Guan Ning, et al.
Publicado: (2010)

Transcriptional regulation prediction of antiestrogen resistance in breast cancer based on RNA polymerase II binding data
por: Zhang, Denan, et al.
Publicado: (2014)

PNImodeler: web server for inferring protein-binding nucleotides from sequence data
por: Im, Jinyong, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_dr2qs4bivr5j4s9df88qcd0cla