ArticleACS omega2018
A Comparative Study of Modern Homology Modeling Algorithms for Rhodopsin Structure Prediction.
Article in ACS omega, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 57 citations in OpenAlex.
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- Computational insights into rational design and virtual screening of pyrazolopyrimidine derivatives targeting Janus kinase 3 (JAK3).Frontiers in chemistry · 2024Article
- Fluorescence of the Retinal Chromophore in Microbial and Animal Rhodopsins.International journal of molecular sciences · 2023Review
- Scalable Inhibitors of the Nsp3-Nsp4 Coupling in SARS-CoV-2.ACS omega · 2023Article
- Structure and dynamics of membrane protein in SARS-CoV-2.Journal of biomolecular structure & dynamics · 2022Article
- Rhodopsins: An Excitingly Versatile Protein Species for Research, Development and Creative Engineering.Frontiers in chemistry · 2022Review
- The deleterious impact of a non-synonymous SNP on protein structure and function is apparent in hypertension.Journal of molecular modeling · 2021Article
- Protein Structure Prediction: Conventional and Deep Learning Perspectives.The protein journal · 2021Review
- PCPD: Plant cytochrome P450 database and web-based tools for structural construction and ligand docking.Synthetic and systems biotechnology · 2021Article
- Study of Endogen Substrates, Drug Substrates and Inhibitors Binding Conformations on MRP4 and Its Variants by Molecular Docking and Molecular Dynamics.Molecules (Basel, Switzerland) · 2021Article
- BIO-GATS: A Tool for Automated GPCR Template Selection Through a Biophysical Approach for Homology Modeling.Frontiers in molecular biosciences · 2021Article
- Antimicrobial Peptides Derived From Insects Offer a Novel Therapeutic Option to Combat Biofilm: A Review.Frontiers in microbiology · 2021Review
- Electronic Couplings and Electrostatic Interactions Behind the Light Absorption of Retinal Proteins.Frontiers in molecular biosciences · 2021Review
- Predicting drug targets by homology modelling of Pseudomonas aeruginosa proteins of unknown function.PloS one · 2021Article
- RubyACRs, nonalgal anion channelrhodopsins with highly red-shifted absorption.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Structural and evolutionary analyses of the Plasmodium falciparum chloroquine resistance transporter.Scientific reports · 2020Article
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Corrections and comments
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rhodopsins are seven α-helical membrane proteins that are of great importance in chemistry, biology, and modern biotechnology. Any in silico study on rhodopsin properties and functioning requires a high-quality three-dimensional structure. Due to particular difficulties with obtaining membrane protein structures from the experiment, in silico prediction of the three-dimensional rhodopsin structure based only on its primary sequence is an especially important task. For the last few years, significant progress was made in the field of protein structure prediction, especially for methods based on comparative modeling. However, the majority of this progress was made for soluble proteins and further investigations are needed to achieve similar progress for membrane proteins. In this paper, we evaluate the performance of modern protein structure prediction methodologies (implemented in the Medeller, I-TASSER, and Rosetta packages) for their ability to predict rhodopsin structures. Three widely used methodologies were considered: two general methodologies that are commonly applied to soluble proteins and a methodology that uses constraints that are specific for membrane proteins. The test pool consisted of 36 target-template pairs with different sequence similarities that was constructed on the basis of 24 experimental rhodopsin structures taken from the RCSB database. As a result, we showed that all three considered methodologies allow obtaining rhodopsin structures with the quality that is close to the crystallographic one (root mean square deviation (RMSD) of the predicted structure from the corresponding X-ray structure up to 1.5 Å) if the target-template sequence identity is higher than 40%. Moreover, all considered methodologies provided structures of average quality (RMSD < 4.0 Å) if the target-template sequence identity is higher than 20%. Such structures can be subsequently used for further investigation of molecular mechanisms of protein functioning and for the development of modern protein-based biotechnologies.
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Registered trials
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