ArticleScience advances2016
Blind protein structure prediction using accelerated free-energy simulations.
Article in Science advances, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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.
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Who cites it
35 citing papers in PubMed.
- Beyond Classical Force Fields: Physics-Driven Assessment of the Grappa Machine-Learned Force Field on the FoldBind Dataset.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026Article
- Hierarchical Extended Linkage Method (HELM)'s Deep Dive into Hybrid Clustering Strategies.Journal of chemical information and modeling · 2025Article
- PERRC: Protease Engineering with Reactant Residence Time Control.ACS synthetic biology · 2025Article
- MELD in Action: Harnessing Data to Accelerate Molecular Dynamics.Journal of chemical information and modeling · 2025Review
- RNA-Puzzles Round V: blind predictions of 23 RNA structures.Nature methods · 2025Article
- Protein Retrieval via Integrative Molecular Ensembles (PRIME) through Extended Similarity Indices.Journal of chemical theory and computation · 2024Article
- Exact Analytical Algorithm for the Solvent-Accessible Surface Area and Derivatives in Implicit Solvent Molecular Simulations on GPUs.Journal of chemical theory and computation · 2024Article
- Article
- Molecular Dynamics Simulations of Protein RNA Complexes by Using an Advanced Electrostatic Model.The journal of physical chemistry. B · 2022Article
- Accelerating Protein Folding Molecular Dynamics Using Inter-Residue Distances from Machine Learning Servers.Journal of chemical theory and computation · 2022Article
- Searching for Low Probability Opening Events in a DNA Sliding Clamp.Life (Basel, Switzerland) · 2022Article
- Editorial: Computational approaches for interpreting experimental data and understanding protein structure, dynamics and function relationships.Frontiers in molecular biosciences · 2022Article
- Improved 3-D Protein Structure Predictions using Deep ResNet Model.The protein journal · 2021Article
- Integrating single-molecule spectroscopy and simulations for the study of intrinsically disordered proteins.Methods (San Diego, Calif.) · 2021Article
- MELD-accelerated molecular dynamics help determine amyloid fibril structures.Communications biology · 2021Article
- Simultaneous Assignment and Structure Determination of Proteins From Sparsely Labeled NMR Datasets.Frontiers in molecular biosciences · 2021Article
- Protein storytelling through physics.Science (New York, N.Y.) · 2020Review
- Computing Ligands Bound to Proteins Using MELD-Accelerated MD.Journal of chemical theory and computation · 2020Article
- Modeling beta-sheet peptide-protein interactions: Rosetta FlexPepDock in CAPRI rounds 38-45.Proteins · 2020Article
- NMR-assisted protein structure prediction with MELDxMD.Proteins · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
We report a key proof of principle of a new acceleration method [Modeling Employing Limited Data (MELD)] for predicting protein structures by molecular dynamics simulation. It shows that such Boltzmann-satisfying techniques are now sufficiently fast and accurate to predict native protein structures in a limited test within the Critical Assessment of Structure Prediction (CASP) community-wide blind competition.
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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.