ArticleNucleic acids research2013
CABS-fold: Server for the de novo and consensus-based prediction of protein structure.
Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Recent advances in machine learning and coarse-grained potentials for biomolecular simulations.Biophysical journal · 2026Review
- Recapturing Cooperativity of α-Helix Formation and Packing in Coarse-Grained Protein Structure Modeling with Multitorsional Potentials.The journal of physical chemistry. B · 2025Article
- Importance of Secondary Structure Data in Large Scale Protein Modeling Using Low-Resolution SURPASS Method.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Insights into structural vaccinology harnessed for universal coronavirus vaccine development.Clinical and experimental vaccine research · 2024Review
- Top-Down Machine Learning of Coarse-Grained Protein Force Fields.Journal of chemical theory and computation · 2023Article
- Immunogenicity and efficacy of a novel multi-patch SARS-CoV-2/COVID-19 vaccine candidate.Frontiers in immunology · 2023Article
- Protein-Protein Docking: Past, Present, and Future.The protein journal · 2022Review
- Improvements and new functionalities of UNRES server for coarse-grained modeling of protein structure, dynamics, and interactions.Frontiers in molecular biosciences · 2022Article
- Modeling the MreB-CbtA Interaction to Facilitate the Prediction and Design of Candidate Antibacterial Peptides.Frontiers in molecular biosciences · 2021Article
- Article
- Differentiable molecular simulation can learn all the parameters in a coarse-grained force field for proteins.PloS one · 2021Article
- Cytotoxic T-lymphocyte elicited therapeutic vaccine candidate targeting cancer against MAGE-A11 carcinogenic protein.Bioscience reports · 2020Article
- Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2.Infectious diseases of poverty · 2020Article
- Multiepitope-Based Subunit Vaccine Design and Evaluation against Respiratory Syncytial Virus Using Reverse Vaccinology Approach.Vaccines · 2020Article
- Computational analysis of functional single nucleotide polymorphisms associated with SLC26A4 gene.PloS one · 2020Article
- Antimicrobial Peptide Designing and Optimization Employing Large-Scale Flexibility Analysis of Protein-Peptide Fragments.ACS omega · 2019Article
- Enhanced GROMACS: toward a better numerical simulation framework.Journal of molecular modeling · 2019Article
- Recent Advances in Coarse-Grained Models for Biomolecules and Their Applications.International journal of molecular sciences · 2019Review
- Modeling of Disordered Protein Structures Using Monte Carlo Simulations and Knowledge-Based Statistical Force Fields.International journal of molecular sciences · 2019Review
- Modeling of Protein Structural Flexibility and Large-Scale Dynamics: Coarse-Grained Simulations and Elastic Network Models.International journal of molecular sciences · 2018Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The CABS-fold web server provides tools for protein structure prediction from sequence only (de novo modeling) and also using alternative templates (consensus modeling). The web server is based on the CABS modeling procedures ranked in previous Critical Assessment of techniques for protein Structure Prediction competitions as one of the leading approaches for de novo and template-based modeling. Except for template data, fragmentary distance restraints can also be incorporated into the modeling process. The web server output is a coarse-grained trajectory of generated conformations, its Jmol representation and predicted models in all-atom resolution (together with accompanying analysis). CABS-fold can be freely accessed at http://biocomp.chem.uw.edu.pl/CABSfold.
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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.