Key | Value |
---|---|
FileName | ./usr/share/pyshared/Vision/Icons/blank.gif |
FileSize | 109 |
MD5 | 07786CBEDBA4B00329EAE95EEDDC4793 |
SHA-1 | 07EB263B4998513FA65F2DA1EE382499C2B0C79D |
SHA-256 | E7582A38EE612A175E8A420C5A6721A17B509F0E66E002F7B89B59DBF855B2AA |
SSDEEP | 3:CFkll4Rat/LylHrWhdt0F3r67NCVWn:kE481jBUo |
TLSH | T119B012348466C4A5E10181306D45928C213493444C020E062374030D29004006040454 |
hashlookup:parent-total | 12 |
hashlookup:trust | 100 |
The searched file hash is included in 12 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 22418632 |
MD5 | 4ADE8254E9421B580D7F3D8877DEBBD7 |
PackageDescription | Computer Aided Drug Discovery (CADD) Pipeline This package is part of the mgltools set of Python libraries which provide an infrastructure for the analysis of protein structures and their docking of chemical compounds. . The Computer Aided Drug Discovery (CADD) Pipeline is a workflow environment designed to support molecular dyanmics simulations and virtual screening experiments for in silico drug discovery, with a special focus on supporting the use of the Relaxed Complex Scheme. It includes web based access to applications such as NAMD, AutoDock, PDB2PQR, APBS, MGLToos and couples them in a flexible and scalable fashion through cloud computing. It is developed as a standalone application, using Vision (https://www.nbcr.net/pub/wiki/index.php?title=MGLTools#Vision) as the backend engine for visual programming and workflow execution. The scientific applications are made accessible through CADD using Opal Web services (https://www.nbcr.net/pub/wiki/index.php?title=Opal) for scalable and distributed computation. . The workflow components of the CADD pipeline are currently released as Vision networks packaged for specific processes in a modular fashion. These modules may be coupled at ease for more complex processes. In the future, they may also be accessible from workflow repositories such as MyExperiment.org, and from AutoDockTools. The Opal services used in the CADD workflow may be accessed using programmatic access, the Opal Server Dashboard or other workflow clients such as Kepler, VisTrails or Taverna through Opal plugins available at Opal Sourceforge website (http://opal.nbcr.net). . Features . * Automatic launching of NAMD simulation on TeraGrid and NBCR resources, including experimental support for migration of simulation between resources. * Selection of representative snapshots/conformations from MD simulations using clustering tools such as QR factorization from VMD and Ptraj from Amber. * Support of Virtual Screening using AutoDock, AutoDock Vina * Support of Relaxed Complex Scheme based Virtual Screening and Rescoring * Visualization and analysis of Virtual Screening hits |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | mgltools-cadd |
PackageSection | non-free/science |
PackageVersion | 1.5.7~rc1~cvs.20130519-2 |
SHA-1 | 3937DCFB622344137049CF2D6FD1E2289F0DC828 |
SHA-256 | 176406A1C35F391877D67D3B1F1C3D13D24BFF054B26A8BC3153E8C41946E2AC |
Key | Value |
---|---|
FileSize | 4636964 |
MD5 | FE33C6A93A1AAFACA8175FD578780082 |
PackageDescription | Python-based Visual Programming Environment This package is part of the mgltools set of Python libraries which provide an infrastructure for the analysis of protein structures and their docking of chemical compounds. . Vision is a visual-programming environment in which a user can interactively build networks describing novel combinations of computational methods, and yielding new visualizations of their data without actually writing code. |
PackageMaintainer | Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org> |
PackageName | mgltools-vision |
PackageSection | non-free/science |
PackageVersion | 1.5.7-1 |
SHA-1 | A51419272A9D15E9553A4B3760F48D50BAD25A93 |
SHA-256 | FC48BC1D3C2589D62BA36E09C16DF0263FFF7EAD3A461EA06EEA9B7BBE0A78F9 |
Key | Value |
---|---|
FileSize | 13868114 |
MD5 | DCA85D4E8C475F9FC2ACFEB4F9D9E5B7 |
PackageDescription | Computer Aided Drug Discovery (CADD) Pipeline This package is part of the mgltools set of Python libraries which provide an infrastructure for the analysis of protein structures and their docking of chemical compounds. . The Computer Aided Drug Discovery (CADD) Pipeline is a workflow environment designed to support molecular dyanmics simulations and virtual screening experiments for in silico drug discovery, with a special focus on supporting the use of the Relaxed Complex Scheme. It includes web based access to applications such as NAMD, AutoDock, PDB2PQR, APBS, MGLToos and couples them in a flexible and scalable fashion through cloud computing. It is developed as a standalone application, using Vision (https://www.nbcr.net/pub/wiki/index.php?title=MGLTools#Vision) as the backend engine for visual programming and workflow execution. The scientific applications are made accessible through CADD using Opal Web services (https://www.nbcr.net/pub/wiki/index.php?title=Opal) for scalable and distributed computation. . The workflow components of the CADD pipeline are currently released as Vision networks packaged for specific processes in a modular fashion. These modules may be coupled at ease for more complex processes. In the future, they may also be accessible from workflow repositories such as MyExperiment.org, and from AutoDockTools. The Opal services used in the CADD workflow may be accessed using programmatic access, the Opal Server Dashboard or other workflow clients such as Kepler, VisTrails or Taverna through Opal plugins available at Opal Sourceforge website (http://opal.nbcr.net). . Features . * Automatic launching of NAMD simulation on TeraGrid and NBCR resources, including experimental support for migration of simulation between resources. * Selection of representative snapshots/conformations from MD simulations using clustering tools such as QR factorization from VMD and Ptraj from Amber. * Support of Virtual Screening using AutoDock, AutoDock Vina * Support of Relaxed Complex Scheme based Virtual Screening and Rescoring * Visualization and analysis of Virtual Screening hits |
PackageMaintainer | Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org> |
PackageName | mgltools-cadd |
PackageSection | non-free/science |
PackageVersion | 1.5.7~rc1+cvs.20140424-1 |
SHA-1 | DA52365A67B931DA90398149B4FBCF12944F63C1 |
SHA-256 | EE5E1DEF3CFEC7C622FFA075368027046AF22BA94874713D71974D1CF09D54FA |
Key | Value |
---|---|
FileSize | 14014562 |
MD5 | F4A2BF0180A99590EBDD40411B1986E9 |
PackageDescription | Computer Aided Drug Discovery (CADD) Pipeline This package is part of the mgltools set of Python libraries which provide an infrastructure for the analysis of protein structures and their docking of chemical compounds. . The Computer Aided Drug Discovery (CADD) Pipeline is a workflow environment designed to support molecular dyanmics simulations and virtual screening experiments for in silico drug discovery, with a special focus on supporting the use of the Relaxed Complex Scheme. It includes web based access to applications such as NAMD, AutoDock, PDB2PQR, APBS, MGLToos and couples them in a flexible and scalable fashion through cloud computing. It is developed as a standalone application, using Vision (https://www.nbcr.net/pub/wiki/index.php?title=MGLTools#Vision) as the backend engine for visual programming and workflow execution. The scientific applications are made accessible through CADD using Opal Web services (https://www.nbcr.net/pub/wiki/index.php?title=Opal) for scalable and distributed computation. . The workflow components of the CADD pipeline are currently released as Vision networks packaged for specific processes in a modular fashion. These modules may be coupled at ease for more complex processes. In the future, they may also be accessible from workflow repositories such as MyExperiment.org, and from AutoDockTools. The Opal services used in the CADD workflow may be accessed using programmatic access, the Opal Server Dashboard or other workflow clients such as Kepler, VisTrails or Taverna through Opal plugins available at Opal Sourceforge website (http://opal.nbcr.net). . Features . * Automatic launching of NAMD simulation on TeraGrid and NBCR resources, including experimental support for migration of simulation between resources. * Selection of representative snapshots/conformations from MD simulations using clustering tools such as QR factorization from VMD and Ptraj from Amber. * Support of Virtual Screening using AutoDock, AutoDock Vina * Support of Relaxed Complex Scheme based Virtual Screening and Rescoring * Visualization and analysis of Virtual Screening hits |
PackageMaintainer | Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org> |
PackageName | mgltools-cadd |
PackageSection | non-free/science |
PackageVersion | 1.5.7-4 |
SHA-1 | 23476D1DFE9CEBEA47C6F6B1D66BFEA8853EA533 |
SHA-256 | 5FEFE3010B5119470316701C965513BFD288FD001F58735DFFCE77EC4A47BE62 |
Key | Value |
---|---|
FileSize | 13885286 |
MD5 | 9360CEE8CF3FE34473BE0DDA04BF7217 |
PackageDescription | Computer Aided Drug Discovery (CADD) Pipeline This package is part of the mgltools set of Python libraries which provide an infrastructure for the analysis of protein structures and their docking of chemical compounds. . The Computer Aided Drug Discovery (CADD) Pipeline is a workflow environment designed to support molecular dyanmics simulations and virtual screening experiments for in silico drug discovery, with a special focus on supporting the use of the Relaxed Complex Scheme. It includes web based access to applications such as NAMD, AutoDock, PDB2PQR, APBS, MGLToos and couples them in a flexible and scalable fashion through cloud computing. It is developed as a standalone application, using Vision (https://www.nbcr.net/pub/wiki/index.php?title=MGLTools#Vision) as the backend engine for visual programming and workflow execution. The scientific applications are made accessible through CADD using Opal Web services (https://www.nbcr.net/pub/wiki/index.php?title=Opal) for scalable and distributed computation. . The workflow components of the CADD pipeline are currently released as Vision networks packaged for specific processes in a modular fashion. These modules may be coupled at ease for more complex processes. In the future, they may also be accessible from workflow repositories such as MyExperiment.org, and from AutoDockTools. The Opal services used in the CADD workflow may be accessed using programmatic access, the Opal Server Dashboard or other workflow clients such as Kepler, VisTrails or Taverna through Opal plugins available at Opal Sourceforge website (http://opal.nbcr.net). . Features . * Automatic launching of NAMD simulation on TeraGrid and NBCR resources, including experimental support for migration of simulation between resources. * Selection of representative snapshots/conformations from MD simulations using clustering tools such as QR factorization from VMD and Ptraj from Amber. * Support of Virtual Screening using AutoDock, AutoDock Vina * Support of Relaxed Complex Scheme based Virtual Screening and Rescoring * Visualization and analysis of Virtual Screening hits |
PackageMaintainer | Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org> |
PackageName | mgltools-cadd |
PackageSection | non-free/science |
PackageVersion | 1.5.7-1 |
SHA-1 | EC201FA22DDA7550D82494DDDD9001EDABD8D076 |
SHA-256 | 5EB4A352D6FDCC639454536C095B46F0D21865A2F7435988116262A66B0B6F78 |
Key | Value |
---|---|
FileSize | 3814450 |
MD5 | 48FFB687A5122AD6F2D4522E488F7F5E |
PackageDescription | Python-based Visual Programming Environment This package is part of the mgltools set of Python libraries which provide an infrastructure for the analysis of protein structures and their docking of chemical compounds. . Vision is a visual-programming environment in which a user can interactively build networks describing novel combinations of computational methods, and yielding new visualizations of their data without actually writing code. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | mgltools-vision |
PackageSection | non-free/science |
PackageVersion | 1.5.7~rc1+cvs.20140424+dfsg-1 |
SHA-1 | D00D1C4103966759B5F3B065463C02407C116303 |
SHA-256 | 385C07AB1E1D117D64B7AE02B5714659DB86B3572E3C8B7ED762E5712C86E09E |
Key | Value |
---|---|
FileSize | 4630920 |
MD5 | 22246C09A32C815FB6659C32D2AB0F4D |
PackageDescription | Python-based Visual Programming Environment This package is part of the mgltools set of Python libraries which provide an infrastructure for the analysis of protein structures and their docking of chemical compounds. . Vision is a visual-programming environment in which a user can interactively build networks describing novel combinations of computational methods, and yielding new visualizations of their data without actually writing code. |
PackageMaintainer | Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org> |
PackageName | mgltools-vision |
PackageSection | non-free/science |
PackageVersion | 1.5.7~rc1+cvs.20140424-1 |
SHA-1 | 00C34AE2DDA768AC12E4FF93772A76BA286E7ADD |
SHA-256 | 1A56495D07EFABB94BA6CA31BE42D242FB894FD204DBBB01B0ACDB759129D32E |
Key | Value |
---|---|
FileSize | 4627160 |
MD5 | A15E6EC158BE9945C6CB9100078971AB |
PackageDescription | Python-based Visual Programming Environment This package is part of the mgltools set of Python libraries which provide an infrastructure for the analysis of protein structures and their docking of chemical compounds. . Vision is a visual-programming environment in which a user can interactively build networks describing novel combinations of computational methods, and yielding new visualizations of their data without actually writing code. |
PackageMaintainer | Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org> |
PackageName | mgltools-vision |
PackageSection | non-free/science |
PackageVersion | 1.5.7+dfsg-2 |
SHA-1 | 48821AC2C5D2AE225492A8B155F5502F43852963 |
SHA-256 | A6499BE515F86174327E047B93A6E0D0AE1D9A629F3BB02A1CB70E792E4DE7A7 |
Key | Value |
---|---|
FileSize | 14674080 |
MD5 | 4FE3D5D1B8D8C3EE9CC77CA554DE047C |
PackageDescription | Computer Aided Drug Discovery (CADD) Pipeline This package is part of the mgltools set of Python libraries which provide an infrastructure for the analysis of protein structures and their docking of chemical compounds. . The Computer Aided Drug Discovery (CADD) Pipeline is a workflow environment designed to support molecular dyanmics simulations and virtual screening experiments for in silico drug discovery, with a special focus on supporting the use of the Relaxed Complex Scheme. It includes web based access to applications such as NAMD, AutoDock, PDB2PQR, APBS, MGLToos and couples them in a flexible and scalable fashion through cloud computing. It is developed as a standalone application, using Vision (https://www.nbcr.net/pub/wiki/index.php?title=MGLTools#Vision) as the backend engine for visual programming and workflow execution. The scientific applications are made accessible through CADD using Opal Web services (https://www.nbcr.net/pub/wiki/index.php?title=Opal) for scalable and distributed computation. . The workflow components of the CADD pipeline are currently released as Vision networks packaged for specific processes in a modular fashion. These modules may be coupled at ease for more complex processes. In the future, they may also be accessible from workflow repositories such as MyExperiment.org, and from AutoDockTools. The Opal services used in the CADD workflow may be accessed using programmatic access, the Opal Server Dashboard or other workflow clients such as Kepler, VisTrails or Taverna through Opal plugins available at Opal Sourceforge website (http://opal.nbcr.net). . Features . * Automatic launching of NAMD simulation on TeraGrid and NBCR resources, including experimental support for migration of simulation between resources. * Selection of representative snapshots/conformations from MD simulations using clustering tools such as QR factorization from VMD and Ptraj from Amber. * Support of Virtual Screening using AutoDock, AutoDock Vina * Support of Relaxed Complex Scheme based Virtual Screening and Rescoring * Visualization and analysis of Virtual Screening hits |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | mgltools-cadd |
PackageSection | non-free/science |
PackageVersion | 1.5.7~rc1+cvs.20140424-1 |
SHA-1 | A7D7B75571B5E6C8C48D6E1B2D61FBCCE8A7B369 |
SHA-256 | 8E1F3FCEC74267408849C6F07E8A411249F4F9FFE2C1C222782A302F02CFE990 |
Key | Value |
---|---|
FileSize | 3795136 |
MD5 | 875CCF2503594499E2F0C6FF709AD619 |
PackageDescription | Python-based Visual Programming Environment This package is part of the mgltools set of Python libraries which provide an infrastructure for the analysis of protein structures and their docking of chemical compounds. . Vision is a visual-programming environment in which a user can interactively build networks describing novel combinations of computational methods, and yielding new visualizations of their data without actually writing code. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | mgltools-vision |
PackageSection | non-free/science |
PackageVersion | 1.5.7+dfsg-1ubuntu2 |
SHA-1 | 17D92FDED72151DEF1FC4EEFD5449C392251C4E9 |
SHA-256 | ADE64D045867D35D8F856542337E6149FD89AF59CEA5AB4AF253A5E64A1990BA |
Key | Value |
---|---|
FileSize | 4487076 |
MD5 | 0326828C022CBFE66C30165DC159E4A7 |
PackageDescription | Python-based Visual Programming Environment This package is part of the mgltools set of Python libraries which provide an infrastructure for the analysis of protein structures and their docking of chemical compounds. . Vision is a visual-programming environment in which a user can interactively build networks describing novel combinations of computational methods, and yielding new visualizations of their data without actually writing code. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | mgltools-vision |
PackageSection | non-free/science |
PackageVersion | 1.5.7~rc1~cvs.20130519-1 |
SHA-1 | A4BD6A1EFC62203CD51AB0A92707755EE2D790A9 |
SHA-256 | 60ABEE2083DA27D3980129DEE9F7737C3C5231021FE259F93BB63FB711FF3D2D |
Key | Value |
---|---|
FileSize | 13967892 |
MD5 | 584DEEAA8E94B1FCAD1C06429E1CFC3D |
PackageDescription | Computer Aided Drug Discovery (CADD) Pipeline This package is part of the mgltools set of Python libraries which provide an infrastructure for the analysis of protein structures and their docking of chemical compounds. . The Computer Aided Drug Discovery (CADD) Pipeline is a workflow environment designed to support molecular dyanmics simulations and virtual screening experiments for in silico drug discovery, with a special focus on supporting the use of the Relaxed Complex Scheme. It includes web based access to applications such as NAMD, AutoDock, PDB2PQR, APBS, MGLToos and couples them in a flexible and scalable fashion through cloud computing. It is developed as a standalone application, using Vision (https://www.nbcr.net/pub/wiki/index.php?title=MGLTools#Vision) as the backend engine for visual programming and workflow execution. The scientific applications are made accessible through CADD using Opal Web services (https://www.nbcr.net/pub/wiki/index.php?title=Opal) for scalable and distributed computation. . The workflow components of the CADD pipeline are currently released as Vision networks packaged for specific processes in a modular fashion. These modules may be coupled at ease for more complex processes. In the future, they may also be accessible from workflow repositories such as MyExperiment.org, and from AutoDockTools. The Opal services used in the CADD workflow may be accessed using programmatic access, the Opal Server Dashboard or other workflow clients such as Kepler, VisTrails or Taverna through Opal plugins available at Opal Sourceforge website (http://opal.nbcr.net). . Features . * Automatic launching of NAMD simulation on TeraGrid and NBCR resources, including experimental support for migration of simulation between resources. * Selection of representative snapshots/conformations from MD simulations using clustering tools such as QR factorization from VMD and Ptraj from Amber. * Support of Virtual Screening using AutoDock, AutoDock Vina * Support of Relaxed Complex Scheme based Virtual Screening and Rescoring * Visualization and analysis of Virtual Screening hits |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | mgltools-cadd |
PackageSection | non-free/science |
PackageVersion | 1.5.7-3 |
SHA-1 | 1441328D8F628226DFFAE828D91832030722C80D |
SHA-256 | B995882A93F2654FBE34ABFC5AC4B6568B63B58F0376E7E6B53FF2B773BCB829 |