PRIMO: an interactive homology modeling pipeline
- Hatherley, Rowan, Brown, David K, Glenister, Michael, Tastan Bishop, Özlem
- Authors: Hatherley, Rowan , Brown, David K , Glenister, Michael , Tastan Bishop, Özlem
- Date: 2017
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/148282 , vital:38726 , doi: 10.1371/journal.pone.0166698
- Description: The development of automated servers to predict the three-dimensional structure of proteins has seen much progress over the years. These servers make calculations simpler, but largely exclude users from the process. In this study, we present the PRotein Interactive MOdeling (PRIMO) pipeline for homology modeling of protein monomers. The pipeline eases the multi-step modeling process, and reduces the workload required by the user, while still allowing engagement from the user during every step. Default parameters are given for each step, which can either be modified or supplemented with additional external input. PRIMO has been designed for users of varying levels of experience with homology modeling. The pipeline incorporates a user-friendly interface that makes it easy to alter parameters used during modeling.
- Full Text:
- Date Issued: 2017
- Authors: Hatherley, Rowan , Brown, David K , Glenister, Michael , Tastan Bishop, Özlem
- Date: 2017
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/148282 , vital:38726 , doi: 10.1371/journal.pone.0166698
- Description: The development of automated servers to predict the three-dimensional structure of proteins has seen much progress over the years. These servers make calculations simpler, but largely exclude users from the process. In this study, we present the PRotein Interactive MOdeling (PRIMO) pipeline for homology modeling of protein monomers. The pipeline eases the multi-step modeling process, and reduces the workload required by the user, while still allowing engagement from the user during every step. Default parameters are given for each step, which can either be modified or supplemented with additional external input. PRIMO has been designed for users of varying levels of experience with homology modeling. The pipeline incorporates a user-friendly interface that makes it easy to alter parameters used during modeling.
- Full Text:
- Date Issued: 2017
SANCDB: a South African natural compound database
- Hatherley, Rowan, Brown, David K, Musyoka, Thommas M, Penkler, David L, Faya, Ngonidzashe, Lobb, Kevin A, Tastan Bishop, Özlem
- Authors: Hatherley, Rowan , Brown, David K , Musyoka, Thommas M , Penkler, David L , Faya, Ngonidzashe , Lobb, Kevin A , Tastan Bishop, Özlem
- Date: 2015
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/148337 , vital:38730 , DOI: 10.1186/s13321-015-0080-8
- Description: Natural products (NPs) are important to the drug discovery process. NP research efforts are expanding world-wide and South Africa is no exception to this. While freely-accessible small molecule databases, containing compounds isolated from indigenous sources, have been established in a number of other countries, there is currently no such online database in South Africa.
- Full Text:
- Date Issued: 2015
- Authors: Hatherley, Rowan , Brown, David K , Musyoka, Thommas M , Penkler, David L , Faya, Ngonidzashe , Lobb, Kevin A , Tastan Bishop, Özlem
- Date: 2015
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/148337 , vital:38730 , DOI: 10.1186/s13321-015-0080-8
- Description: Natural products (NPs) are important to the drug discovery process. NP research efforts are expanding world-wide and South Africa is no exception to this. While freely-accessible small molecule databases, containing compounds isolated from indigenous sources, have been established in a number of other countries, there is currently no such online database in South Africa.
- Full Text:
- Date Issued: 2015
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