ArticleProtein science : a publication of the Protein Society2009
KING (Kinemage, Next Generation): a versatile interactive molecular and scientific visualization program.
Article in Protein science : a publication of the Protein Society, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 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
96 citing papers in PubMed.
- From wireframes to immersive reality: a historical perspective on molecular visualization software.Briefings in bioinformatics · 2026Review
- New targets and procedures for validating the valence geometry of nucleic acid structures.Nucleic acids research · 2026Article
- Categorizing prediction modes within low-pLDDT regions of AlphaFold2 structures: near-predictive, pseudostructure and barbed wire.Acta crystallographica. Section D, Structural biology · 2025Article
- Categorizing prediction modes within low-pLDDT regions of AlphaFold2 structures.bioRxiv : the preprint server for biology · 2025Article
- Cis-nonProline peptides: Genuine occurrences and their functional roles.Protein science : a publication of the Protein Society · 2025Article
- A Visual Environment for Data Driven Protein Modeling and Validation.IEEE transactions on visualization and computer graphics · 2024Article
- Outcomes of the EMDataResource cryo-EM Ligand Modeling Challenge.Nature methods · 2024Article
- Article
- Biochemical and Structural Analysis of the Bacterial Enzyme Succinyl-Diaminopimelate Desuccinylase (DapE) fromACS omega · 2024Article
- Structure-Based Lead Optimization of Enterovirus D68 2A Protease Inhibitors.Journal of medicinal chemistry · 2023Article
- Improved HIV-1 neutralization breadth and potency of V2-apex antibodies by in silico design.Cell reports · 2023Article
- Layer reconstruction and missing link prediction of a multilayer network with maximum a posteriori estimation.Physical review. E · 2021Article
- Improving SARS-CoV-2 structures: Peer review by early coordinate release.Biophysical journal · 2021Article
- Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge.Nature methods · 2021Article
- Predicting PY motif-mediated protein-protein interactions in the Nedd4 family of ubiquitin ligases.PloS one · 2021Article
- Using an integrative machine learning approach utilising homology modelling to clinically interpret genetic variants: CACNA1F as an exemplar.European journal of human genetics : EJHG · 2020Article
- New tools in MolProbity validation: CaBLAM for CryoEM backbone, UnDowser to rethink "waters," and NGL Viewer to recapture online 3D graphics.Protein science : a publication of the Protein Society · 2020Article
- siRNA Design to Silence the 3'UTR Region of Zika Virus.BioMed research international · 2020Article
- Improved chemistry restraints for crystallographic refinement by integrating the Amber force field into Phenix.Acta crystallographica. Section D, Structural biology · 2020Article
- Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix.Acta crystallographica. Section D, Structural biology · 2019Article
36 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
3 authors.
Funding
Abstract
Proper visualization of scientific data is important for understanding spatial relationships. Particularly in the field of structural biology, where researchers seek to gain an understanding of the structure and function of biological macromolecules, it is important to have access to visualization programs which are fast, flexible, and customizable. We present KiNG, a Java program for visualizing scientific data, with a focus on macromolecular visualization. KiNG uses the kinemage graphics format, which is tuned for macromolecular structures, but is also ideal for many other kinds of spatially embedded information. KiNG is written in cross-platform, open-source Java code, and can be extended by end users through simple or elaborate "plug-in" modules. Here, we present three such applications of KiNG to problems in structural biology (protein backbone rebuilding), bioinformatics of high-dimensional data (e.g., protein sidechain chi angles), and classroom education (molecular illustration). KiNG is a mature platform for rapidly creating and capitalizing on scientific visualizations. As a research tool, it is invaluable as a test bed for new methods of visualizing scientific data and information. It is also a powerful presentation tool, whether for structure browsing, teaching, direct 3D display on the web, or as a method for creating pictures and videos for publications. KiNG is freely available for download at http://kinemage.biochem.duke.edu.
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.