ArticlePloS one2014
Protein loop modeling using a new hybrid energy function and its application to modeling in inaccurate structural environments.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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40 citing papers in PubMed.
- Protein loop structure prediction by community-based deep learning and its application to antibody CDR H3 loop modeling.PLoS computational biology · 2024Article
- Recent Advances in Protein Folding Pathway Prediction through Computational Methods.Current medicinal chemistry · 2024Review
- Comprehensive assessment of protein loop modeling programs on large-scale datasets: prediction accuracy and efficiency.Briefings in bioinformatics · 2023Article
- Functional assessment of AtPAP17; encoding a purple acid phosphatase involved in phosphate metabolism in Arabidopsis thaliana.Biotechnology letters · 2023Article
- Computational Modeling of Antibody and T-Cell Receptor (CDR3 Loops).Methods in molecular biology (Clifton, N.J.) · 2023Article
- CSAlign and CSAlign-Dock: Structure alignment of ligands considering full flexibility and application to protein-ligand docking.Computational and structural biotechnology journal · 2023Article
- Evolutionary association of receptor-wide amino acids with G protein-coupling selectivity in aminergic GPCRs.Life science alliance · 2022Article
- Benchmarking the Accuracy of AlphaFold 2 in Loop Structure Prediction.Biomolecules · 2022Article
- Cytosolic microRNA-inducible nuclear translocation of Cas9 protein for disease-specific genome modification.Nucleic acids research · 2022Article
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- Accurate positioning of functional residues with robotics-inspired computational protein design.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
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- Molecular mechanism underlying substrate recognition of the peptide macrocyclase PsnB.Nature chemical biology · 2021Article
- Modeling and Structure Determination of Homo-Oligomeric Proteins: An Overview of Challenges and Current Approaches.International journal of molecular sciences · 2021Review
- GalaxyHeteromer: protein heterodimer structure prediction by template-based and ab initio docking.Nucleic acids research · 2021Article
- Biomolecular modeling thrives in the age of technology.Nature computational science · 2021Article
- Improved Sampling Strategies for Protein Model Refinement Based on Molecular Dynamics Simulation.Journal of chemical theory and computation · 2021Article
- Current approaches to flexible loop modeling.Current research in structural biology · 2021Review
- ProMod3-A versatile homology modelling toolbox.PLoS computational biology · 2021Article
- Sclerostin inhibits Wnt signaling through tandem interaction with two LRP6 ectodomains.Nature communications · 2020Article
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4 authors.
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Abstract
Protein loop modeling is a tool for predicting protein local structures of particular interest, providing opportunities for applications involving protein structure prediction and de novo protein design. Until recently, the majority of loop modeling methods have been developed and tested by reconstructing loops in frameworks of experimentally resolved structures. In many practical applications, however, the protein loops to be modeled are located in inaccurate structural environments. These include loops in model structures, low-resolution experimental structures, or experimental structures of different functional forms. Accordingly, discrepancies in the accuracy of the structural environment assumed in development of the method and that in practical applications present additional challenges to modern loop modeling methods. This study demonstrates a new strategy for employing a hybrid energy function combining physics-based and knowledge-based components to help tackle this challenge. The hybrid energy function is designed to combine the strengths of each energy component, simultaneously maintaining accurate loop structure prediction in a high-resolution framework structure and tolerating minor environmental errors in low-resolution structures. A loop modeling method based on global optimization of this new energy function is tested on loop targets situated in different levels of environmental errors, ranging from experimental structures to structures perturbed in backbone as well as side chains and template-based model structures. The new method performs comparably to force field-based approaches in loop reconstruction in crystal structures and better in loop prediction in inaccurate framework structures. This result suggests that higher-accuracy predictions would be possible for a broader range of applications. The web server for this method is available at http://galaxy.seoklab.org/loop with the PS2 option for the scoring function.
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