Cargando…

How Good Are Simplified Models for Protein Structure Prediction?

Protein structure prediction (PSP) has been one of the most challenging problems in computational biology for several decades. The challenge is largely due to the complexity of the all-atomic details and the unknown nature of the energy function. Researchers have therefore used simplified energy mod...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shatabda, Swakkhar, Newton, M. A. Hakim, Rashid, Mahmood A., Pham, Duc Nghia, Sattar, Abdul
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2014
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022063/ https://www.ncbi.nlm.nih.gov/pubmed/24876837 http://dx.doi.org/10.1155/2014/867179

Ejemplares similares

The road not taken: retreat and diverge in local search for simplified protein structure prediction
por: Shatabda, Swakkhar, et al.
Publicado: (2013)

Spiral search: a hydrophobic-core directed local search for simplified PSP on 3D FCC lattice
por: Rashid, Mahmood A, et al.
Publicado: (2013)

A Parallel Framework for Multipoint Spiral Search in ab Initio Protein Structure Prediction
por: Rashid, Mahmood A., et al.
Publicado: (2014)

Mixing Energy Models in Genetic Algorithms for On-Lattice Protein Structure Prediction
por: Rashid, Mahmood A., et al.
Publicado: (2013)

HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features
por: Zaman, Rianon, et al.
Publicado: (2017)

iDNAProt-ES: Identification of DNA-binding Proteins Using Evolutionary and Structural Features
por: Chowdhury, Shahana Yasmin, et al.
Publicado: (2017)

Image-based effective feature generation for protein structural class and ligand binding prediction
por: Sadique, Nafees, et al.
Publicado: (2020)

Secondary structure specific simpler prediction models for protein backbone angles
por: Newton, M. A. Hakim, et al.
Publicado: (2022)

A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation
por: Azim, Sayed Mehedi, et al.
Publicado: (2022)

Recent Development of Machine Learning Methods in Microbial Phosphorylation Sites
por: Rashid, Md. Mamunur, et al.
Publicado: (2020)

FRnet-DTI: Deep convolutional neural network for drug-target interaction prediction
por: Rayhan, Farshid, et al.
Publicado: (2020)

Predicting Academic Performance: Analysis of Students’ Mental Health Condition from Social Media Interactions
por: Mukta, Md. Saddam Hossain, et al.
Publicado: (2022)

CoMOGrad and PHOG: From Computer Vision to Fast and Accurate Protein Tertiary Structure Retrieval
por: Karim, Rezaul, et al.
Publicado: (2015)

Enhancing protein inter-residue real distance prediction by scrutinising deep learning models
por: Rahman, Julia, et al.
Publicado: (2022)

Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptors
por: Ahmed, Sajid, et al.
Publicado: (2020)

Poribohon-BD: Bangladeshi local vehicle image dataset with annotation for classification
por: Tabassum, Shaira, et al.
Publicado: (2020)

ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides
por: Ahmed, Sajid, et al.
Publicado: (2021)

Efficient conformational space exploration in ab initio protein folding simulation
por: Ullah, Ahammed, et al.
Publicado: (2015)

Enhancing protein backbone angle prediction by using simpler models of deep neural networks
por: Mataeimoghadam, Fereshteh, et al.
Publicado: (2020)

iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting
por: Rayhan, Farshid, et al.
Publicado: (2017)

A convolution based computational approach towards DNA N6-methyladenine site identification and motif extraction in rice genome
por: Rahman, Chowdhury Rafeed, et al.
Publicado: (2021)

Author Correction: Enhancing protein backbone angle prediction by using simpler models of deep neural networks
por: Mataeimoghadam, Fereshteh, et al.
Publicado: (2021)

Quantitative Toxicity Prediction via Meta Ensembling of Multitask Deep Learning Models
por: Karim, Abdul, et al.
Publicado: (2021)

FracAtlas: A Dataset for Fracture Classification, Localization and Segmentation of Musculoskeletal Radiographs
por: Abedeen, Iftekharul, et al.
Publicado: (2023)

BanglaSER: A speech emotion recognition dataset for the Bangla language
por: Das, Rakesh Kumar, et al.
Publicado: (2022)

Novel model predictive control-based motion cueing algorithm for compensating centrifugal acceleration in KUKA robocoaster-based driving simulators
por: Pham, Duc-An, et al.
Publicado: (2023)

Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features
por: Arafat, Md. Easin, et al.
Publicado: (2020)

Sequence-only evolutionary and predicted structural features for the prediction of stability changes in protein mutants
por: Folkman, Lukas, et al.
Publicado: (2013)

Simplified RNA secondary structure mapping by automation of SHAPE data analysis
por: Pang, Phillip S., et al.
Publicado: (2011)

How to be good /
por: Hornby, Nick
Publicado: (2002)

How Good is Jarzynski’s Equality for Computer-Aided Drug Design?
por: Ho, Kiet, et al.
Publicado: (2020)

Evolution of interface binding strengths in simplified model of protein quaternary structure
por: Leonard, Alexander S., et al.
Publicado: (2019)

MitraClip step by step; how to simplify the procedure
por: Sherif, M. A., et al.
Publicado: (2016)

Simplify: how the best businesses in the world succeed
por: Koch, Richard, et al.
Publicado: (2016)

How to Have Good Teeth
por: Trego, A. Homer
Publicado: (1877)

Quality of care: how good is good enough?
por: Chassin, Mark R
Publicado: (2012)

Conformer Generation for Structure-Based Drug Design: How Many and How Good?
por: McNutt, Andrew T., et al.
Publicado: (2023)

Strain-dependent structure and Raman behaviours in the heavy-ion irradiated manganite at extreme low dose
por: Hoang, Nam Nhat, et al.
Publicado: (2019)

How good is the orthopaedic literature?
por: Chaudhry, Harman, et al.
Publicado: (2008)

Antioxidants: how good are they?
por: Asp, Nils-Georg
Publicado: (2007)

Cannot write session to /tmp/vufind_sessions/sess_r6ao6aqch31o5sppq5r1vh9fkf