ReviewTheoretical biology & medical modelling2015
General overview on structure prediction of twilight-zone proteins.
Review in Theoretical biology & medical modelling, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 72 citations in OpenAlex.
- RNA threading with secondary structure and sequence profile.Bioinformatics (Oxford, England) · 2024Article
- Insights into3 Biotech · 2023Article
- Characterising ATP binding activity of PilB ATPase ofJournal of biosciences · 2023Article
- Metagenomic discovery of lipases with predicted structural similarity to Candida antarctica lipase B.PloS one · 2023Article
- Bioinformatics characterization of BcsA-like orphan proteins suggest they form a novel family of pseudomonad cyclic-β-glucan synthases.PloS one · 2023Article
- Protein Design: From the Aspect of Water Solubility and Stability.Chemical reviews · 2022Review
- AlphaFold, Artificial Intelligence (AI), and Allostery.The journal of physical chemistry. B · 2022Review
- Structure and dynamics of membrane protein in SARS-CoV-2.Journal of biomolecular structure & dynamics · 2022Article
- A Comparative Evaluation of the Structural and Dynamic Properties of Insect Odorant Binding Proteins.Biomolecules · 2022Article
- ProtCHOIR: a tool for proteome-scale generation of homo-oligomers.Briefings in bioinformatics · 2021Article
- Data-Driven Ensemble Docking to Map Molecular Interactions of Steroid Analogs with Hepatic Organic Anion Transporting Polypeptides.Journal of chemical information and modeling · 2021Article
- Anatomic features, tolerance index, secondary metabolites and protein content of chickpea (Physiology and molecular biology of plants : an international journal of functional plant biology · 2020Article
- AWSEM-Suite: a protein structure prediction server based on template-guided, coevolutionary-enhanced optimized folding landscapes.Nucleic acids research · 2020Article
- Structural Characterization of the CD44 Stem Region for Standard and Cancer-Associated Isoforms.International journal of molecular sciences · 2020Article
- ProteinNet: a standardized data set for machine learning of protein structure.BMC bioinformatics · 2019Article
- Article
- Repository of Enriched Structures of Proteins Involved in the Red Blood Cell Environment (RESPIRE).PloS one · 2019Article
- DeepCDpred: Inter-residue distance and contact prediction for improved prediction of protein structure.PloS one · 2019Article
- Template-Guided Protein Structure Prediction and Refinement Using Optimized Folding Landscape Force Fields.Journal of chemical theory and computation · 2018Article
- Metazoan Parasite Vaccines: Present Status and Future Prospects.Frontiers in cellular and infection microbiology · 2018Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein structure prediction from amino acid sequence has been one of the most challenging aspects in computational structural biology despite significant progress in recent years showed by critical assessment of protein structure prediction (CASP) experiments. When experimentally determined structures are unavailable, the predictive structures may serve as starting points to study a protein. If the target protein consists of homologous region, high-resolution (typically <1.5 Å) model can be built via comparative modelling. However, when confronted with low sequence similarity of the target protein (also known as twilight-zone protein, sequence identity with available templates is less than 30%), the protein structure prediction has to be initiated from scratch. Traditionally, twilight-zone proteins can be predicted via threading or ab initio method. Based on the current trend, combination of different methods brings an improved success in the prediction of twilight-zone proteins. In this mini review, the methods, progresses and challenges for the prediction of twilight-zone proteins were discussed.
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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.