[go: up one dir, main page]

Delaunay et al., 2022 - Google Patents

Des3PI: a fragment-based approach to design cyclic peptides targeting protein–protein interactions

Delaunay et al., 2022

Document ID
4819962243720975320
Author
Delaunay M
Ha-Duong T
Publication year
Publication venue
Journal of Computer-Aided Molecular Design

External Links

Snippet

Protein–protein interactions (PPIs) play crucial roles in many cellular processes and their deregulation often leads to cellular dysfunctions. One promising way to modulate PPIs is to use peptide derivatives that bind their protein target with high affinity and high specificity …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/16Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for molecular structure, e.g. structure alignment, structural or functional relations, protein folding, domain topologies, drug targeting using structure data, involving two-dimensional or three-dimensional structures
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/68Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
    • G01N33/6803General methods of protein analysis not limited to specific proteins or families of proteins
    • G01N33/6842Proteomic analysis of subsets of protein mixtures with reduced complexity, e.g. membrane proteins, phosphoproteins, organelle proteins
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/70Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds
    • G06F19/706Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for drug design with the emphasis on a therapeutic agent, e.g. ligand-biological target interactions, pharmacophore generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/28Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/18Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/12Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks

Similar Documents

Publication Publication Date Title
Zhou et al. Systematic comparison and comprehensive evaluation of 80 amino acid descriptors in peptide QSAR modeling
Ustach et al. Optimization and evaluation of site-identification by ligand competitive saturation (SILCS) as a tool for target-based ligand optimization
Ericksen et al. Machine learning consensus scoring improves performance across targets in structure-based virtual screening
Huang et al. Inclusion of solvation and entropy in the knowledge-based scoring function for protein− ligand interactions
Onufriev et al. Modification of the generalized Born model suitable for macromolecules
McHugh et al. Insights into how cyclic peptides switch conformations
Yin et al. MedusaScore: an accurate force field-based scoring function for virtual drug screening
Bakan et al. Druggability assessment of allosteric proteins by dynamics simulations in the presence of probe molecules
Nittinger et al. Evidence of Water Molecules A Statistical Evaluation of Water Molecules Based on Electron Density
Ross et al. Replica-exchange and standard state binding free energies with Grand Canonical Monte Carlo
Haider et al. Combining solvent thermodynamic profiles with functionality maps of the Hsp90 binding site to predict the displacement of water molecules
Wahl et al. Assessing the predictive power of relative binding free energy calculations for test cases involving displacement of binding site water molecules
Das et al. Binding affinity prediction with property-encoded shape distribution signatures
Hoffer et al. In silico fragment-based drug discovery: setup and validation of a fragment-to-lead computational protocol using S4MPLE
Delaunay et al. Des3PI: a fragment-based approach to design cyclic peptides targeting protein–protein interactions
Allen et al. Development and validation of the quantum mechanical bespoke protein force field
Spiga et al. Electrostatic-consistent coarse-grained potentials for molecular simulations of proteins
Sun et al. An azo coupling-based chemoproteomic approach to systematically profile the tyrosine reactivity in the human proteome
Cai et al. Basis for Accurate Protein p K a prediction with Machine Learning
Wu et al. K-means clustering coarse-graining (KMC-CG): A next generation methodology for determining optimal coarse-grained mappings of large biomolecules
Garay et al. Post-translational modifications at the coarse-grained level with the SIRAH force field
Ritchie et al. Understanding and manipulating electrostatic fields at the protein–protein interface using vibrational spectroscopy and continuum electrostatics calculations
Yang et al. Analysis of factors influencing hydration site prediction based on molecular dynamics simulations
Klebe Protein modeling and structure-based drug design
Li et al. Repulsive soft-core potentials for efficient alchemical free energy calculations