PONDEROSA-CS 2018 – Determine Protein 3D Structures

PONDEROSA-CS 2018

:: DESCRIPTION

PONDEROSA-CS (Peak-picking Of Noe Data Enabled by Restriction of Shift Assignments with Client/Server ) is a new software package for automated protein 3D structure determination.

::DEVELOPER

NMRFAM (National Magnetic Resonance Facility At Madison)

:: SCREENSHOTS

PONDEROSA-CS

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • Server

:: DOWNLOAD

  PONDEROSA-CS

:: MORE INFORMATION

Citation

J Biomol NMR. 2014 Nov;60(2-3):73-5. doi: 10.1007/s10858-014-9855-x. Epub 2014 Sep 5.
PONDEROSA-C/S: client-server based software package for automated protein 3D structure determination.
Lee W1, Stark JL, Markley JL.

Bioinformatics. 2011 Jun 15;27(12):1727-8. doi: 10.1093/bioinformatics/btr200. Epub 2011 Apr 21.
PONDEROSA, an automated 3D-NOESY peak picking program, enables automated protein structure determination.
Lee W1, Kim JH, Westler WM, Markley JL.

PONDEROSA-C/S 20181026 – Automated Protein 3D structure Determination

PONDEROSA-C/S 20181026

:: DESCRIPTION

PONDEROSA-C/S  is a successor of the PONDEROSA (Peak picking Of NOE Data Enabled by Restriction Of Shift Assignments) program, which utilizes information from prior assignments to automatically pick NOE peaks from 3D-NOESY (13C-edited and 15N-edited) spectra and uses the results as input for a series of AUDANA (Automated Database-Assisted NOE Assignment) or CYANA structure calculations with the goal of achieving a publishable quality solution structure.

::DEVELOPER

The National Magnetic Resonance Facility at Madison (NMRFAM)

:: SCREENSHOTS

Ponderosa

:: REQUIREMENTS

  • Windows/Linux/MacOsX

:: DOWNLOAD

PONDEROSA-C/S

:: MORE INFORMATION

Citation

Lee W, Stark JL, Markley JL. (2014)
PONDEROSA-C/S: Client-server based software package for automated protein 3D structure determination.
Journal of Biomolecular NMR 60(2-3):73-5

PONDEROSA, an automated 3D-NOESY peak picking program, enables automated protein structure determination.
Lee W, Kim JH, Westler WM, Markley JL.
Bioinformatics. 2011 Jun 15;27(12):1727-8. doi: 10.1093/bioinformatics/btr200.