Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA - Nature.com

		BioNMR > NMR community > Online News
Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA - Nature.com

Webservers

NMR processing:

MDD

NMR assignment:

Backbone:

Side-chains:

NOEs:

Structure from NMR restraints:

Ab initio:

Fragment-based:

Rosetta-NMR (Robetta)

Template-based:

GeNMR

I-TASSER

Refinement:

Amber

Structure from chemical shifts:

Fragment-based:

Homology-based:

Torsion angles from chemical shifts:

Preditor

TALOS

Promega- Proline

Secondary structure from chemical shifts:

CSI (via RCI server)

TALOS

MICS caps, β-turns

d2D

PECAN

Flexibility from chemical shifts:

RCI

Interactions from chemical shifts:

HADDOCK

Chemical shifts re-referencing:

NMR model quality:

NOEs, other restraints:

Chemical shifts:

RDCs:

Pseudocontact shifts:

Protein geomtery:

SAVES2 or SAVES4

Quality Control Check

NMR spectrum prediction:

FANDAS

MestReS

V-NMR

Flexibility from structure:

Backbone S2

Methyl S2

B-factor

Molecular dynamics:

Gromacs

Amber

Antechamber

Chemical shifts prediction:

From structure:

Shiftx2

Sparta+

Camshift

CH3shift- Methyl

ArShift- Aromatic

ShiftS

Proshift

PPM

CheShift-2- Cα

From sequence:

Shifty

Camcoil

Poulsen_rc_CS

Disordered proteins:

MAXOCC

Format conversion & validation:

CCPN

From NMR-STAR 3.1

Validate NMR-STAR 3.1

NMR sample preparation:

Protein disorder:

DisMeta

Protein solubility:

Isotope labeling:

Solid-state NMR:

Thread Tools

Search this Thread

Rate Thread

Display Modes

12-28-2023, 10:50 PM

nmrlearner

Senior Member

Join Date: Jan 2005

Posts: 23,734

Points: 193,617, Level: 100

Level up: 0%, 0 Points needed

Activity: 50.7%

Last Achievements

Award-Showcase

NMR Credits: 0

NMR Points: 193,617

Downloads: 0

Uploads: 0

Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA - Nature.com

Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA - Nature.com

Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA Nature.com Read here

Did you find this post helpful?

Similar Threads
Thread	Thread Starter	Forum	Replies	Last Post
[NMR paper] Rapid estimation approach for glycosylated serum protein of human serum based on the combination of deep learning and TD-NMR technology Rapid estimation approach for glycosylated serum protein of human serum based on the combination of deep learning and TD-NMR technology Rapid and precise estimation of glycosylated serum protein (GSP) of human serum is of great importance for the treatment and diagnosis of diabetes mellitus. In this study, we propose a novel method for estimation of GSP level based on the combination of deep learning and time domain nuclear magnetic resonance (TD-NMR) transverse relaxation signal of human serum. Specifically, a principal component analysis (PCA)-enhanced one-dimensional convolutional...	nmrlearner	Journal club	0	03-10-2023 06:48 PM
[NMR paper] Pure Isotropic Proton NMR Spectra in Solids using Deep Learning Pure Isotropic Proton NMR Spectra in Solids using Deep Learning Angewandte Chemie International Edition, Volume 62, Issue 8, February 13, 2023. More...	nmrlearner	Journal club	0	02-08-2023 10:25 PM
[NMR paper] Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA Nuclear Magnetic Resonance (NMR) spectroscopy is a major technique in structural biology with over 11,800 protein structures deposited in the Protein Data Bank. NMR can elucidate structures and dynamics of small and medium size proteins in solution, living cells, and solids, but has been limited by the tedious data analysis process. It typically requires weeks or months of manual work of a trained expert to turn NMR measurements into a protein structure. Automation of this process is an...	nmrlearner	Journal club	0	10-20-2022 06:37 PM
Rotamer-free protein sequence design based on deep learning and self-consistency - Nature.com Rotamer-free protein sequence design based on deep learning and self-consistency - Nature.com Rotamer-free protein sequence design based on deep learning and self-consistency Nature.com Read here	nmrlearner	Online News	0	07-22-2022 11:46 PM
Correction for Ornes, Researchers turn to deep learning to decode protein structures - pnas.org Correction for Ornes, Researchers turn to deep learning to decode protein structures - pnas.org Correction for Ornes, Researchers turn to deep learning to decode protein structures pnas.org Read here	nmrlearner	Online News	0	04-28-2022 02:17 PM
Researchers turn to deep learning to decode protein structures - pnas.org Researchers turn to deep learning to decode protein structures - pnas.org Researchers turn to deep learning to decode protein structures pnas.org Read here	nmrlearner	Online News	0	04-28-2022 12:02 AM
Deep learning dreams up new protein structures: A neural network trained exclusively to predict protein shapes can also generate new ones. - Science Daily Deep learning dreams up new protein structures: A neural network trained exclusively to predict protein shapes can also generate new ones. Science Daily Deep learning dreams up new protein structures: A neural network trained exclusively to predict protein shapes can also generate new ones. - Science Daily More...	nmrlearner	Online News	0	12-02-2021 03:58 AM
[NMR paper] NMRNet: A deep learning approach to automated peak picking of protein NMR spectra. NMRNet: A deep learning approach to automated peak picking of protein NMR spectra. NMRNet: A deep learning approach to automated peak picking of protein NMR spectra. Bioinformatics. 2018 Mar 14;: Authors: Klukowski P, Augoff M, Zieba M, Drwal M, Gonczarek A, Walczak MJ Abstract Motivation: Automated selection of signals in protein NMR spectra, known as peak picking, has been studied for over 20 years, nevertheless existing peak picking methods are still largely deficient. Accurate and precise automated peak picking would...	nmrlearner	Journal club	0	03-17-2018 12:12 PM

« Previous Thread | Next Thread »

Posting Rules
You may not post new threads You may not post replies You may not post attachments You may not edit your posts BB code is On Smilies are On [IMG] code is On HTML code is On Trackbacks are Off Pingbacks are Off Refbacks are Off