UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

3Drefine: an interactive web server for efficient protein structure refinement

Nucleic acids research, 2016-07, Vol.44 (W1), p.W406-W409

2016

Volltextzugriff (PDF)

Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13

Proteins, structure, function, and bioinformatics, 2019-12, Vol.87 (12), p.1165-1178

2019

Volltextzugriff (PDF)

DeepSF: deep convolutional neural network for mapping protein sequences to folds

Bioinformatics, 2018-04, Vol.34 (8), p.1295-1303

2018

Volltextzugriff (PDF)

CONFOLD2: improved contact-driven ab initio protein structure modeling

BMC bioinformatics, 2018-01, Vol.19 (1), p.22-22, Article 22

2018

Volltextzugriff (PDF)

De novo atomic protein structure modeling for cryoEM density maps using 3D transformer and HMM

Nature communications, 2024-06, Vol.15 (1), p.5511-13, Article 5511

2024

Volltextzugriff (PDF)

3Drefine: Consistent protein structure refinement by optimizing hydrogen bonding network and atomic-level energy minimization

Proteins, structure, function, and bioinformatics, 2013-01, Vol.81 (1), p.119-131

2013

Volltextzugriff (PDF)

Predicting protein residue―residue contacts using deep networks and boosting

Bioinformatics, 2012-12, Vol.28 (23), p.3066-3072

2012

Volltextzugriff (PDF)

DeepDist: real-value inter-residue distance prediction with deep residual convolutional network

BMC bioinformatics, 2021-01, Vol.22 (1), p.30-30, Article 30

2021

Volltextzugriff (PDF)

Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis

International journal of molecular sciences, 2020-04, Vol.21 (8), p.2873

2020

Volltextzugriff (PDF)

Prediction of inter-chain distance maps of protein complexes with 2D attention-based deep neural networks

Nature communications, 2022-11, Vol.13 (1), p.6963-6963, Article 6963

2022

Volltextzugriff (PDF)

DISTEMA: distance map-based estimation of single protein model accuracy with attentive 2D convolutional neural network

BMC bioinformatics, 2022-04, Vol.23 (Suppl 3), p.141-141, Article 141

2022

Volltextzugriff (PDF)

A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction

IEEE/ACM transactions on computational biology and bioinformatics, 2015-01, Vol.12 (1), p.103-112

2015

Volltextzugriff (PDF)

VEHiCLE: a Variationally Encoded Hi-C Loss Enhancement algorithm for improving and generating Hi-C data

Scientific reports, 2021-04, Vol.11 (1), p.8880-8880, Article 8880

2021

Volltextzugriff (PDF)

ClusterTAD: an unsupervised machine learning approach to detecting topologically associated domains of chromosomes from Hi-C data

BMC bioinformatics, 2017-11, Vol.18 (1), p.480-480, Article 480

2017

Volltextzugriff (PDF)

Improving Protein Fold Recognition by Deep Learning Networks

Scientific reports, 2015-12, Vol.5 (1), p.17573-17573, Article 17573

2015

Volltextzugriff (PDF)

A machine learning information retrieval approach to protein fold recognition

Bioinformatics, 2006-06, Vol.22 (12), p.1456-1463

2006

Volltextzugriff (PDF)

FeOOH decorated CoP porous nanofiber for enhanced oxygen evolution activity

Chemical engineering journal (Lausanne, Switzerland : 1996), 2022-01, Vol.428, p.131130, Article 131130

2022

Volltextzugriff (PDF)

A deep auto-encoder model for gene expression prediction

BMC genomics, 2017-11, Vol.18 (Suppl 9), p.845-845, Article 845

2017

Volltextzugriff (PDF)

Four-Dimensional Chromosome Structure Prediction

International journal of molecular sciences, 2021-09, Vol.22 (18), p.9785

2021

Volltextzugriff (PDF)

Improved residue contact prediction using support vector machines and a large feature set

BMC bioinformatics, 2007-04, Vol.8 (1), p.113-113, Article 113

2007

Volltextzugriff (PDF)

Genome sequence of the palaeopolyploid soybean

Nature (London), 2010-01, Vol.463 (7278), p.178-183

2010

Volltextzugriff (PDF)

Analysis of several key factors influencing deep learning-based inter-residue contact prediction

Bioinformatics, 2020-02, Vol.36 (4), p.1091-1098

2020

Volltextzugriff (PDF)

A maximum likelihood algorithm for reconstructing 3D structures of human chromosomes from chromosomal contact data

BMC genomics, 2018-02, Vol.19 (1), p.161-161, Article 161

2018

Volltextzugriff (PDF)

Prediction of protein stability changes for single-site mutations using support vector machines

Proteins, structure, function, and bioinformatics, 2006-03, Vol.62 (4), p.1125-1132

2006

Volltextzugriff (PDF)

Improving Protein-Ligand Interaction Modeling with cryo-EM Data, Templates, and Deep Learning in 2021 Ligand Model Challenge

Biomolecules (Basel, Switzerland), 2023-01, Vol.13 (1), p.132

2023

Volltextzugriff (PDF)

1 – 25 von 760

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(649)
Mit Volltextzugriff
(678)

Publikationsform

Sprache

Erscheinungsjahr

n.n

Thema

Science & Technology
(550)
Life Sciences & Biomedicine
(311)
Technology
(178)
Physical Sciences
(172)
Biochemistry & Molecular Biology
(149)
Proteins
(106)
Humans
(93)
Biotechnology & Applied Microbiology
(83)
Proteins - Chemistry
(82)
Science & Technology - Other Topics
(82)
Mathematical & Computational Biology
(81)
Biochemical Research Methods
(79)
Computer Science
(77)
Chemistry
(69)
Software
(67)
Algorithms
(65)
Engineering
(65)
Models, Molecular
(65)
Materials Science
(60)
Animals
(59)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 90 Tagen
(21)
... seit 30 Tagen
(8)

Menü

Weitere Dienste

Einstellungen

3Drefine: an interactive web server for efficient protein structure refinement

Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13

DeepSF: deep convolutional neural network for mapping protein sequences to folds

CONFOLD2: improved contact-driven ab initio protein structure modeling

De novo atomic protein structure modeling for cryoEM density maps using 3D transformer and HMM

3Drefine: Consistent protein structure refinement by optimizing hydrogen bonding network and atomic-level energy minimization

Predicting protein residue―residue contacts using deep networks and boosting

DeepDist: real-value inter-residue distance prediction with deep residual convolutional network

Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis

Prediction of inter-chain distance maps of protein complexes with 2D attention-based deep neural networks

DISTEMA: distance map-based estimation of single protein model accuracy with attentive 2D convolutional neural network

A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction

VEHiCLE: a Variationally Encoded Hi-C Loss Enhancement algorithm for improving and generating Hi-C data

ClusterTAD: an unsupervised machine learning approach to detecting topologically associated domains of chromosomes from Hi-C data

Improving Protein Fold Recognition by Deep Learning Networks

A machine learning information retrieval approach to protein fold recognition

FeOOH decorated CoP porous nanofiber for enhanced oxygen evolution activity

A deep auto-encoder model for gene expression prediction

Four-Dimensional Chromosome Structure Prediction

Improved residue contact prediction using support vector machines and a large feature set

Genome sequence of the palaeopolyploid soybean

Analysis of several key factors influencing deep learning-based inter-residue contact prediction

A maximum likelihood algorithm for reconstructing 3D structures of human chromosomes from chromosomal contact data

Prediction of protein stability changes for single-site mutations using support vector machines

Improving Protein-Ligand Interaction Modeling with cryo-EM Data, Templates, and Deep Learning in 2021 Ligand Model Challenge

Suchergebnisse filtern