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Designing Peptides on a Quantum Computer
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1097-0134(19981101)33:2<227::aid-prot7>3.0.co;2-fopenalex-snapshot
Exploring the conformational space of protein side chains using dead-end elimination and the A* algorithm
inferredcites →https://doi.org/10.1002/(sici)1097-0134(1999)37:3+<171::aid-prot21>3.0.co;2-zopenalex-snapshot
Ab initio protein structure prediction of CASP III targets using ROSETTA
inferredcites →https://doi.org/10.1002/prot.21636openalex-snapshot
Structure prediction for CASP7 targets using extensive all-atom refinement with Rosetta@home
inferredcites →https://doi.org/10.1002/prot.22540openalex-snapshot
Structure prediction for CASP8 with all‐atom refinement using Rosetta
inferredcites →https://doi.org/10.1002/prot.22935openalex-snapshot
The α‐sheet: A missing‐in‐action secondary structure?
inferredcites →https://doi.org/10.1002/prot.24862openalex-snapshot
CASP 11 refinement experiments with ROSETTA
inferredcites →https://doi.org/10.1007/978-1-4939-6637-0_19openalex-snapshot
Computational Design of Ligand Binding Proteins
inferredcites →https://doi.org/10.1007/s10589-016-9844-yopenalex-snapshot
Building an iterative heuristic solver for a quantum annealer
inferredcites →https://doi.org/10.1016/j.ejmech.2014.09.047openalex-snapshot
Structure-based inhibition of protein–protein interactions
inferredcites →https://doi.org/10.1016/s0969-2126(99)80176-2openalex-snapshot
Branch-and-Terminate: a combinatorial optimization algorithm for protein design
inferredcites →https://doi.org/10.1021/acs.jcim.8b00510openalex-snapshot
Variable Neighborhood Search with Cost Function Networks To Solve Large Computational Protein Design Problems
inferredcites →https://doi.org/10.1021/acs.jctc.7b00125openalex-snapshot
The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design
inferredcites →https://doi.org/10.1021/ja3094795openalex-snapshot
Computational Design of an α-Gliadin Peptidase
inferredcites →https://doi.org/10.1021/ja502310ropenalex-snapshot
Rational Design of Topographical Helix Mimics as Potent Inhibitors of Protein–Protein Interactions
inferredcites →https://doi.org/10.1021/ma50002a007openalex-snapshot
Sheet structures in alternating poly(D,L-peptides)
inferredcites →https://doi.org/10.1038/nature11600openalex-snapshot
Principles for designing ideal protein structures
inferredcites →https://doi.org/10.1038/nature12443openalex-snapshot
Computational design of ligand-binding proteins with high affinity and selectivity
inferredcites →https://doi.org/10.1038/nature13404openalex-snapshot
Accurate design of co-assembling multi-component protein nanomaterials
inferredcites →https://doi.org/10.1038/nature18010openalex-snapshot
Design of a hyperstable 60-subunit protein icosahedron
inferredcites →https://doi.org/10.1038/nature19791openalex-snapshot
Accurate de novo design of hyperstable constrained peptides
inferredcites →https://doi.org/10.1038/nbt.3907openalex-snapshot
Computational design of trimeric influenza-neutralizing proteins targeting the hemagglutinin receptor binding site
inferredcites →https://doi.org/10.1038/nsb0197-10openalex-snapshot
From Levinthal to pathways to funnels
inferredcites →https://doi.org/10.1038/s41586-018-0802-yopenalex-snapshot
Programmable design of orthogonal protein heterodimers
inferredcites →https://doi.org/10.1038/s41586-019-1432-8openalex-snapshot
De novo design of bioactive protein switches
inferredcites →https://doi.org/10.1038/s41586-019-1666-5openalex-snapshot
Quantum supremacy using a programmable superconducting processor
inferredcites →https://doi.org/10.1073/pnas.0702626104openalex-snapshot
Prediction of the structure of symmetrical protein assemblies
inferredcites →https://doi.org/10.1073/pnas.1710695114openalex-snapshot
De novo design of covalently constrained mesosize protein scaffolds with unique tertiary structures
inferredcites →https://doi.org/10.1073/pnas.87.16.6388openalex-snapshot
Origins of structure in globular proteins.
inferredcites →https://doi.org/10.1073/pnas.97.19.10383openalex-snapshot
Native protein sequences are close to optimal for their structures
inferredcites →https://doi.org/10.1093/bioinformatics/btt374openalex-snapshot
A new framework for computational protein design through cost function network optimization
inferredcites →https://doi.org/10.1093/protein/8.12.1205openalex-snapshot
Designing amino acid sequences to fold with good hydrophobic cores
inferredcites →https://doi.org/10.1103/physreve.58.5355openalex-snapshot
Quantum annealing in the transverse Ising model
inferredcites →https://doi.org/10.1103/physrevlett.115.130501openalex-snapshot
Energy Cost of Controlling Mesoscopic Quantum Systems
inferredcites →https://doi.org/10.1109/tasc.2013.2244634openalex-snapshot
Energy-Efficient Superconducting Computing—Power Budgets and Requirements
inferredcites →https://doi.org/10.1126/science.1089427openalex-snapshot
Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
inferredcites →https://doi.org/10.1126/science.1190239openalex-snapshot
Computational Design of an Enzyme Catalyst for a Stereoselective Bimolecular Diels-Alder Reaction
inferredcites →https://doi.org/10.1126/science.1202617openalex-snapshot
Computational Design of Proteins Targeting the Conserved Stem Region of Influenza Hemagglutinin
inferredcites →https://doi.org/10.1126/science.1219364openalex-snapshot
Computational Design of Self-Assembling Protein Nanomaterials with Atomic Level Accuracy
inferredcites →https://doi.org/10.1126/science.aaa9897openalex-snapshot
Design of ordered two-dimensional arrays mediated by noncovalent protein-protein interfaces
inferredcites →https://doi.org/10.1126/science.aao4309openalex-snapshot
A blueprint for demonstrating quantum supremacy with superconducting qubits
inferredcites →https://doi.org/10.1126/science.aap7577openalex-snapshot
Comprehensive computational design of ordered peptide macrocycles
inferredcites →https://doi.org/10.1371/journal.pone.0020161openalex-snapshot
RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite
inferredcites →https://doi.org/10.1371/journal.pone.0020450openalex-snapshot
Modeling Symmetric Macromolecular Structures in Rosetta3
inferredcites →https://doi.org/10.1371/journal.pone.0032637openalex-snapshot
Incorporation of Noncanonical Amino Acids into Rosetta and Use in Computational Protein-Peptide Interface Design
inferredcites →https://doi.org/10.1371/journal.pone.0067051openalex-snapshot
Adding Diverse Noncanonical Backbones to Rosetta: Enabling Peptidomimetic Design
inferredcites →https://doi.org/10.22331/q-2018-08-06-79openalex-snapshot
Quantum Computing in the NISQ era and beyond
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/2211-5463.13902openalex-snapshot
An outlook on structural biology after A lpha F old: tools, limits and perspectives
inferred← citeshttps://doi.org/10.1002/9783527840748.ch26openalex-snapshot
The Quantum Computing Paradigm
inferred← citeshttps://doi.org/10.1002/wcms.1481openalex-snapshot
The prospects of quantum computing in computational molecular biology
inferred← citeshttps://doi.org/10.1007/978-3-031-04544-8_3openalex-snapshot
Computational Methods for Peptide Macrocycle Drug Design
inferred← citeshttps://doi.org/10.1007/978-3-031-77432-4_16openalex-snapshot
Scheduling of Satellite Constellation Operations in EO Missions Using Quantum Optimization
inferred← citeshttps://doi.org/10.1007/978-3-031-98022-0_10openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10791-025-09803-yopenalex-snapshot
Quantum computing applications in biology
inferred← citeshttps://doi.org/10.1016/b978-0-323-98808-7.00001-1openalex-snapshot
Early quantum computing applications on the path towards precision medicine
inferred← citeshttps://doi.org/10.1016/bs.apcsb.2022.01.003openalex-snapshot
Algorithms for protein design
inferred← citeshttps://doi.org/10.1016/bs.mie.2025.09.015openalex-snapshot
The open-source Masala software suite: Facilitating rapid methods development for synthetic heteropolymer design
inferred← citeshttps://doi.org/10.1016/j.ascom.2024.100803openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.drudis.2023.103675openalex-snapshot
Quantum computing for near-term applications in generative chemistry and drug discovery
inferred← citeshttps://doi.org/10.1021/acs.biomac.1c01436openalex-snapshot
Machine Learning at the Interface of Polymer Science and Biology: How Far Can We Go?
inferred← citeshttps://doi.org/10.1021/acs.jctc.5c00768openalex-snapshot
De Novo Design of Protein-Binding Peptides by Quantum Computing
inferred← citeshttps://doi.org/10.1021/acsengineeringau.1c00033openalex-snapshot
Quantum Computing and Simulations for Energy Applications: Review and Perspective
inferred← citeshttps://doi.org/10.1021/bk-2022-1417.ch003openalex-snapshot
Computational Design of Peptide-Based Binders to Therapeutic Targets
inferred← citeshttps://doi.org/10.1038/s41592-020-0848-2openalex-snapshot
Macromolecular modeling and design in Rosetta: recent methods and frameworks
inferred← citeshttps://doi.org/10.1038/s41592-021-01199-zopenalex-snapshot
Biology begins to tangle with quantum computing
inferred← citeshttps://doi.org/10.1038/s41598-025-28481-wopenalex-snapshot
Quantum annealing-based route optimization for commercial AGV operating systems in large-scale logistics warehouses
inferred← citeshttps://doi.org/10.1038/s43588-021-00024-zopenalex-snapshot
Towards practical applications in quantum computational biology
inferred← citeshttps://doi.org/10.1063/5.0151346openalex-snapshot
Quantum computing and materials science: A practical guide to applying quantum annealing to the configurational analysis of materials
inferred← citeshttps://doi.org/10.1080/17460441.2020.1751117openalex-snapshot
The emerging role of computational design in peptide macrocycle drug discovery
inferred← citeshttps://doi.org/10.1088/1361-6633/ac8c54openalex-snapshot
Quantum annealing for industry applications: introduction and review
inferred← citeshttps://doi.org/10.1088/1361-6633/ad85f0openalex-snapshot
Quantum algorithms for scientific computing
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Investigating the potential for a limited quantum speedup on protein lattice problems
inferred← citeshttps://doi.org/10.1088/2058-9565/ac4f2fopenalex-snapshot
QFold: quantum walks and deep learning to solve protein folding
inferred← citeshttps://doi.org/10.1088/2058-9565/acc4e4openalex-snapshot
Towards a scalable discrete quantum generative adversarial neural network
inferred← citeshttps://doi.org/10.1093/bib/bbac437openalex-snapshot
Quantum computing algorithms: getting closer to critical problems in computational biology
inferred← citeshttps://doi.org/10.1093/bib/bbad377openalex-snapshot
Quantum annealing-based clustering of single cell RNA-seq data
inferred← citeshttps://doi.org/10.1093/pnasnexus/pgae572openalex-snapshot
Integrating biophysical modeling, quantum computing, and AI to discover plastic-binding peptides that combat microplastic pollution
inferred← citeshttps://doi.org/10.1098/rsif.2022.0541openalex-snapshot
Biology and medicine in the landscape of quantum advantages
inferred← citeshttps://doi.org/10.1098/rsta.2021.0410openalex-snapshot
Understanding domain-wall encoding theoretically and experimentally
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Utilizing Quantum Biological Techniques on a Quantum Processing Unit for Improved Protein Binding Site Determination
inferred← citeshttps://doi.org/10.1101/2020.12.11.420968openalex-snapshot
Quantum Approximated Graph Cutting: A Rapid Replacement for T-REMD?
inferred← citeshttps://doi.org/10.1101/2021.02.19.431999openalex-snapshot
mRNA codon optimization on quantum computers
inferred← citeshttps://doi.org/10.1101/2021.09.27.462000openalex-snapshot
Growing Glycans in Rosetta: Accurate de novo glycan modeling, density fitting, and rational sequon design
inferred← citeshttps://doi.org/10.1101/2023.03.16.532929openalex-snapshot
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inferred← citeshttps://doi.org/10.1103/physrevd.105.056024openalex-snapshot
Scalable qubit representations of neutrino mixing matrices
inferred← citeshttps://doi.org/10.1103/physrevresearch.6.013162openalex-snapshot
Using quantum annealing to design lattice proteins
inferred← citeshttps://doi.org/10.1103/physrevresearch.7.023116openalex-snapshot
Computing canonical averages with quantum and classical optimizers: Thermodynamic reweighting for QUBO models of physical systems
inferred← citeshttps://doi.org/10.1109/qce53715.2022.00028openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/qce53715.2022.00030openalex-snapshot
FastHare: Fast Hamiltonian Reduction for Large-scale Quantum Annealing
inferred← citeshttps://doi.org/10.1109/qce53715.2022.00074openalex-snapshot
EQUAL: Improving the Fidelity of Quantum Annealers by Injecting Controlled Perturbations
inferred← citeshttps://doi.org/10.1109/tmbmc.2025.3600516openalex-snapshot
Quantum-Enabled Protein Folding of Disordered Regions in Ubiquitin C via Error-Mitigated VQE Benchmarked on Tensor Network Simulator and Aria 1
inferred← citeshttps://doi.org/10.1109/tmc.2024.3466857openalex-snapshot
Quantum-Assisted Joint Virtual Network Function Deployment and Maximum Flow Routing for Space Information Networks
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Quantum-Assisted Joint Caching and Power Allocation for Integrated Satellite-Terrestrial Networks
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