Deep learning dreams up new protein structures: A neural network trained exclusively to predict protein shapes can also generate new ones. - Science Daily

		BioNMR > NMR community > Online News
Deep learning dreams up new protein structures: A neural network trained exclusively to predict protein shapes can also generate new ones. - Science Daily

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:

View First Unread

Thread Tools

Search this Thread

Rate Thread

Display Modes

12-02-2021, 03:58 AM

nmrlearner

Senior Member

Join Date: Jan 2005

Posts: 23,192

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

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...

Did you find this post helpful?

Similar Threads
Thread	Thread Starter	Forum	Replies	Last Post
[NMR paper] DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra The analysis of nuclear magnetic resonance (NMR) spectra for the comprehensive and unambiguous identification and characterization of peaks is a difficult, but critically important step in all NMR analyses of complex biological molecular systems. Here, we introduce DEEP Picker, a deep neural network (DNN)-based approach for peak picking and spectral deconvolution which semi-automates the analysis of two-dimensional NMR spectra. DEEP Picker includes 8 hidden convolutional layers and was...	nmrlearner	Journal club	0	09-04-2021 10:34 AM
Accurate prediction of protein structures and interactions using a three-track neural network - Science Magazine Accurate prediction of protein structures and interactions using a three-track neural network - Science Magazine Accurate prediction of protein structures and interactions using a three-track neural network Science Magazine Read here	nmrlearner	Online News	0	09-03-2021 02:54 AM
[NMR paper] FID-Net: A versatile deep neural network architecture for NMR spectral reconstruction and virtual decoupling FID-Net: A versatile deep neural network architecture for NMR spectral reconstruction and virtual decoupling In recent years, the transformative potential of deep neural networks (DNNs) for analysing and interpreting NMR data has clearly been recognised. However, most applications of DNNs in NMR to date either struggle to outperform existing methodologies or are limited in scope to a narrow range of data that closely resemble the data that the network was trained on. These limitations have prevented a widescale uptake of DNNs in NMR. Addressing this, we introduce FID-Net, a deep neural...	nmrlearner	Journal club	0	04-20-2021 12:46 PM
FID-Net: A versatile deep neural network architecture for NMR spectral reconstruction and virtual decoupling FID-Net: A versatile deep neural network architecture for NMR spectral reconstruction and virtual decoupling Abstract In recent years, the transformative potential of deep neural networks (DNNs) for analysing and interpreting NMR data has clearly been recognised. However, most applications of DNNs in NMR to date either struggle to outperform existing methodologies or are limited in scope to a narrow range of data that closely resemble the data that the network was trained on. These limitations have prevented a widescale uptake of DNNs in NMR....	nmrlearner	Journal club	0	04-19-2021 10:30 AM
Deep dive into key COVID-19 protein is a step toward new drugs, vaccines - Science Daily Deep dive into key COVID-19 protein is a step toward new drugs, vaccines Science Daily Deep dive into key COVID-19 protein is a step toward new drugs, vaccines - Science Daily More...	nmrlearner	Online News	0	04-06-2021 02:00 AM
New technique to determine protein structures may solve biomedical puzzles: 'Experimental evolution' analyses can determine the interactions that proteins use to fold into functional three-dimensional shapes - Science Daily New technique to determine protein structures may solve biomedical puzzles: 'Experimental evolution' analyses can determine the interactions that proteins use to fold into functional three-dimensional shapes - Science Daily New technique to determine protein structures may solve biomedical puzzles: 'Experimental evolution' analyses can determine the interactions that proteins use to fold into functional three-dimensional shapes Science Daily Read here	nmrlearner	Online News	0	02-29-2020 09:52 PM
[ASAP] The Protein Biochemistry of the Postsynaptic Density in Glutamatergic Synapses Mediates Learning in Neural Networks The Protein Biochemistry of the Postsynaptic Density in Glutamatergic Synapses Mediates Learning in Neural Networks https://pubs.acs.org/appl/literatum/publisher/achs/journals/content/bichaw/0/bichaw.ahead-of-print/acs.biochem.8b00496/20180702/images/medium/bi-2018-00496z_0004.gif Biochemistry DOI: 10.1021/acs.biochem.8b00496 http://feeds.feedburner.com/~ff/acs/bichaw?d=yIl2AUoC8zA http://feeds.feedburner.com/~r/acs/bichaw/~4/P7CcZMyUuio More...	nmrlearner	Journal club	0	07-06-2018 09:40 AM
New Technology Provides a Deep View Into Protein Structures - Science Daily (press release) New Technology Provides a Deep View Into Protein Structures - Science Daily (press release) <img alt="" height="1" width="1" /> New Technology Provides a Deep View Into Protein Structures Science Daily (press release) The stability of a thermodynamic system, such as a protein, can be analyzed by subjecting it to variations in pressure and temperature. Using high resolution NMR methods and a newly developed pressure cell Nisius and Grzesiek have precisely analyzed ... Read here	nmrlearner	Online News	0	07-11-2012 06:54 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