ArticleBioinformatics (Oxford, England)2010
PyETV: a PyMOL evolutionary trace viewer to analyze functional site predictions in protein complexes.
Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
33 citing papers in PubMed.
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- Identification of mIDH1 R132C/S280F Inhibitors from Natural Products by Integrated Molecular Docking, Pharmacophore Modeling and Molecular Dynamics Simulations.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Molecular design and synthesis of methoxy-substitued spiropyrans with photomodulated NIR-fluorescence.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2023Article
- Investigating a Library of Flavonoids as Potential Inhibitors of a Cancer Therapeutic Target MEK2 Using in Silico Methods.International journal of molecular sciences · 2023Article
- Potential Disruption of Systemic Hormone Transport by Tobacco Alkaloids Using Computational Approaches.Toxics · 2022Article
- Exploring the Natural Compounds in Flavonoids for Their Potential Inhibition of Cancer Therapeutic Target MEK1 Using Computational Methods.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Targeting SARS-CoV-2 Nsp3 macrodomain structure with insights from human poly(ADP-ribose) glycohydrolase (PARG) structures with inhibitors.Progress in biophysics and molecular biology · 2021Article
- Uncovering DNA-PKcs ancient phylogeny, unique sequence motifs and insights for human disease.Progress in biophysics and molecular biology · 2021Article
- An efficient chemical screening method for structure-based inhibitors to nucleic acid enzymes targeting the DNA repair-replication interface and SARS CoV-2.Methods in enzymology · 2021Article
- Structure and evolutionary trace-assisted screening of a residue swapping the substrate ambiguity and chiral specificity in an esterase.Computational and structural biotechnology journal · 2021Article
- Decoding Cancer Variants of Unknown Significance for Helicase-Nuclease-RPA Complexes Orchestrating DNA Repair During Transcription and Replication.Frontiers in molecular biosciences · 2021Article
- Evolutionary History of Alzheimer Disease-Causing Protein Family Presenilins with Pathological Implications.Journal of molecular evolution · 2020Article
- PyVibMS: a PyMOL plugin for visualizing vibrations in molecules and solids.Journal of molecular modeling · 2020Article
- iPBAvizu: a PyMOL plugin for an efficient 3D protein structure superimposition approach.Source code for biology and medicine · 2019Article
- Evolutionary Stability of Salt Bridges Hints Its Contribution to Stability of Proteins.Computational and structural biotechnology journal · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
summaryPyETV is a PyMOL plugin for viewing, analyzing and manipulating predictions of evolutionarily important residues and sites in protein structures and their complexes. It seamlessly captures the output of the Evolutionary Trace server, namely ranked importance of residues, for multiple chains of a complex. It then yields a high resolution graphical interface showing their distribution and clustering throughout a quaternary structure, including at interfaces. Together with other tools in the popular PyMOL viewer, PyETV thus provides a novel tool to integrate evolutionary forces into the design of experiments targeting the most functionally relevant sites of a protein. AVAILABILITY: The PyETV module is written in Python. Installation instructions and video demonstrations may be found at the URL http://mammoth.bcm.tmc.edu/traceview/HelpDocs/PyETVHelp/pyInstructions.html. CONTACT: lichtarge@bcm.tmc.edu.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.