ArticleBiophysical journal2003
ASTRO-FOLD: a combinatorial and global optimization framework for Ab initio prediction of three-dimensional structures of proteins from the amino acid sequence.
Article in Biophysical journal, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed.
- The physics-AI dialogue in drug design.RSC medicinal chemistry · 2025Review
- A Guide to In Silico Drug Design.Pharmaceutics · 2022Review
- Machine learning/molecular dynamic protein structure prediction approach to investigate the protein conformational ensemble.Scientific reports · 2022Article
- Lipid-Protein Interactions in Plasma Membrane Organization and Function.Annual review of biophysics · 2022Review
- Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning.Bioinformatics (Oxford, England) · 2015Article
- Modularity of Protein Folds as a Tool for Template-Free Modeling of Structures.PLoS computational biology · 2015Article
- Improved contact predictions using the recognition of protein like contact patterns.PLoS computational biology · 2014Article
- Protein folding and de novo protein design for biotechnological applications.Trends in biotechnology · 2014Review
- Evaluation of protein dihedral angle prediction methods.PloS one · 2014Article
- Forcefield_PTM:Journal of chemical theory and computation · 2013Article
- Protein WISDOM: a workbench for in silico de novo design of biomolecules.Journal of visualized experiments : JoVE · 2013Article
- Predicting protein contact map using evolutionary and physical constraints by integer programming.Bioinformatics (Oxford, England) · 2013Article
- Article
- De novo peptide design with C3a receptor agonist and antagonist activities: theoretical predictions and experimental validation.Journal of medicinal chemistry · 2012Article
- ASTRO-FOLD 2.0: an Enhanced Framework for Protein Structure Prediction.AIChE journal. American Institute of Chemical Engineers · 2012Article
- Enhanced Inter-helical Residue Contact Prediction in Transmembrane Proteins.Chemical engineering science · 2011Article
- Computational design of the lasso peptide antibiotic microcin J25.Protein engineering, design & selection : PEDS · 2011Article
- Article
- Discovery of entry inhibitors for HIV-1 via a new de novo protein design framework.Biophysical journal · 2010Article
- Article
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 field of computational biology has been revolutionized by recent advances in genomics. The completion of a number of genome projects, including that of the human genome, has paved the way toward a variety of challenges and opportunities in bioinformatics and biological systems engineering. One of the first challenges has been the determination of the structures of proteins encoded by the individual genes. This problem, which represents the progression from sequence to structure (genomics to structural genomics), has been widely known as the structure-prediction-in-protein-folding problem. We present the development and application of ASTRO-FOLD, a novel and complete approach for the ab initio prediction of protein structures given only the amino acid sequences of the proteins. The approach exhibits many novel components and the merits of its application are examined for a suite of protein systems, including a number of targets from several critical-assessment-of-structure-prediction experiments.
Indexed as
Identifiers
What OpenQuestion holds
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.