ReviewNature reviews. Molecular cell biology2019
Advances in protein structure prediction and design.
Review in Nature reviews. Molecular cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 312 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
312 citing papers in PubMed.
- MultilevelCurrent research in structural biology · 2026Article
- Deep learning architectures achieve state-of-the-art (SOTA) accuracy in protein secondary structure prediction.Molecular diversity · 2026Review
- Article
- Entropy quantum computing for fixed-backbone protein design.Scientific reports · 2026Article
- 3DOpt: Benchmark for Automated Design of 3D Molecular Structures across the Periodic Table.Journal of chemical information and modeling · 2026Article
- Backbone double-mutant cycle analysis quantifies hydrogen-bond energies in proteins.Protein science : a publication of the Protein Society · 2026Article
- Design Rules for Controlling Connectivity, Topology, and Sorting Using Hydrogen-Bonded Pairs and Aromatic Components in Palladium(II)-Based Interlocked and Foldameric Systems.Angewandte Chemie (International ed. in English) · 2026Article
- ProtDML: label-aware representation learning for broad-spectrum protein function prediction.Briefings in bioinformatics · 2026Article
- PPI-Diff: De Novo Generation of Peptide Binders via Resolution-Aware Geometric Diffusion.Biomolecules · 2026Article
- Cancer-associated TRF1 mutations alter PARP1 interaction dynamics: an in silico study.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Review
- De novo protein design: a transformative frontier in clinical protein applications.Journal of translational medicine · 2026Review
- Bioconvergence of sound-guided and supramolecular assembly strategies to create peptide-protein composite hydrogels with predictable shape-to-function features.Materials today. Bio · 2026Article
- Measuring and locating the changes in protein structure using MELO.Nature communications · 2026Article
- Computational design of orthogonal TCR α/β interfaces for dual-TCR therapeutics.bioRxiv : the preprint server for biology · 2026Article
- Protein Design Enters the Artificial Intelligence Era: Foundations, Tools, and Emerging Paradigms.Computational and structural biotechnology journal · 2026Review
- Elucidating HER2-directed chimeric antigen receptor (CAR) activation mechanism using homology modeling and all-atom molecular dynamics simulation.Computational and structural biotechnology journal · 2026Article
- Large language models in bioinformatics: a comprehensive survey.Frontiers in genetics · 2026Review
- Generalizable and scalable protein stability prediction with rewired protein generative models.Nature communications · 2025Article
- Combined experimental and in silico elucidation of KP27 endolysin reveals a phage derived antibacterial with pH and thermal robustness.Scientific reports · 2025Article
252 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The prediction of protein three-dimensional structure from amino acid sequence has been a grand challenge problem in computational biophysics for decades, owing to its intrinsic scientific interest and also to the many potential applications for robust protein structure prediction algorithms, from genome interpretation to protein function prediction. More recently, the inverse problem - designing an amino acid sequence that will fold into a specified three-dimensional structure - has attracted growing attention as a potential route to the rational engineering of proteins with functions useful in biotechnology and medicine. Methods for the prediction and design of protein structures have advanced dramatically in the past decade. Increases in computing power and the rapid growth in protein sequence and structure databases have fuelled the development of new data-intensive and computationally demanding approaches for structure prediction. New algorithms for designing protein folds and protein-protein interfaces have been used to engineer novel high-order assemblies and to design from scratch fluorescent proteins with novel or enhanced properties, as well as signalling proteins with therapeutic potential. In this Review, we describe current approaches for protein structure prediction and design and highlight a selection of the successful applications they have enabled.
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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.