ArticlePloS one2016
PRIMO: An Interactive Homology Modeling Pipeline.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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30 citing papers in PubMed.
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- ResiRole: residue-level functional site predictions to gauge the accuracies of protein structure prediction techniques.Bioinformatics (Oxford, England) · 2021Article
- Human OMICs and Computational Biology Research in Africa: Current Challenges and Prospects.Omics : a journal of integrative biology · 2021Article
- Decoding the Molecular Effects of Atovaquone Linked Resistant Mutations onInternational journal of molecular sciences · 2021Article
- Structural insights and inhibition mechanism of TMPRSS2 by experimentally known inhibitors Camostat mesylate, Nafamostat and Bromhexine hydrochloride to control SARS-coronavirus-2: A molecular modeling approach.Informatics in medicine unlocked · 2021Article
- Characterisation of plasmodial transketolases and identification of potential inhibitors: an in silico study.Malaria journal · 2020Article
- Structural analysis of the PATZ1 BTB domain homodimer.Acta crystallographica. Section D, Structural biology · 2020Article
- Identification of Selective Novel Hits againstInternational journal of molecular sciences · 2020Article
- Protein-protein interaction of Rv0148 with Htdy and its predicted role towards drug resistance in Mycobacterium tuberculosis.BMC microbiology · 2020Article
- Understanding the Pyrimethamine Drug Resistance Mechanism via Combined Molecular Dynamics and Dynamic Residue Network Analysis.Molecules (Basel, Switzerland) · 2020Article
- Integrated Computational Approaches and Tools forAllosteric Drug Discovery.International journal of molecular sciences · 2020Review
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4 authors.
Funding
Abstract
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. During each stage of the modeling process, the site provides suggestions for novice users to improve the quality of their models. PRIMO provides functionality that allows users to also model ligands and ions in complex with their protein targets. Herein, we assess the accuracy of the fully automated capabilities of the server, including a comparative analysis of the available alignment programs, as well as of the refinement levels used during modeling. The tests presented here demonstrate the reliability of the PRIMO server when producing a large number of protein models. While PRIMO does focus on user involvement in the homology modeling process, the results indicate that in the presence of suitable templates, good quality models can be produced even without user intervention. This gives an idea of the base level accuracy of PRIMO, which users can improve upon by adjusting parameters in their modeling runs. The accuracy of PRIMO's automated scripts is being continuously evaluated by the CAMEO (Continuous Automated Model EvaluatiOn) project. The PRIMO site is free for non-commercial use and can be accessed at https://primo.rubi.ru.ac.za/.
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