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Cheminformatics-aided discovery of small-molecule Protein-Protein Interaction (PPI) dual inhibitors of Tumor Necrosis Factor (TNF) and Receptor Activator of NF-κB Ligand (RANKL)

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Autor
Melagraki G., Ntougkos E., Rinotas V., Papaneophytou C., Leonis G., Mavromoustakos T., Kontopidis G., Douni E., Afantitis A., Kollias G.
Fecha
2017
Language
en
DOI
10.1371/journal.pcbi.1005372
Materia
Diagnosis
Lead compounds
Molecular dynamics
Molecules
Pipelines
Proteins
Cheminformatics
Drug discovery
Dual inhibitors
In-silico
Protein-protein interactions
Receptor activator
Small molecules
Trimerization
Tumor necrosis factors
Virtual Screening
Ligands
dactinomycin
osteoclast differentiation factor
spd 304
tumor necrosis factor
tumor necrosis factor inhibitor
unclassified drug
antiinflammatory agent
ligand
osteoclast differentiation factor
tumor necrosis factor
algorithm
Article
autoimmune disease
binding affinity
calculation
cell viability assay
clinical evaluation
cluster analysis
comparative study
computer model
conceptual framework
controlled study
crystal structure
cytotoxicity
DNA binding
enzyme activity
enzyme linked immunosorbent assay
fuzzy system
human
human cell
IC50
in vitro study
inflammation
information science
k nearest neighbor
knowledge
molecular docking
molecular dynamics
molecular library
protein protein interaction
sensitivity and specificity
sequence alignment
sequence homology
spectrophotometry
training
validation process
animal
antagonists and inhibitors
bone marrow cell
cell culture
cell line
cell survival
computer simulation
drug development
drug effects
metabolism
mouse
procedures
protein domain
Animals
Anti-Inflammatory Agents
Bone Marrow Cells
Cell Line
Cell Survival
Cells, Cultured
Computer Simulation
Drug Discovery
Humans
Ligands
Mice
Protein Interaction Domains and Motifs
RANK Ligand
Tumor Necrosis Factor-alpha
Public Library of Science
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Resumen
We present an in silico drug discovery pipeline developed and applied for the identification and virtual screening of small-molecule Protein-Protein Interaction (PPI) compounds that act as dual inhibitors of TNF and RANKL through the trimerization interface. The cheminformatics part of the pipeline was developed by combining structure–based with ligand–based modeling using the largest available set of known TNF inhibitors in the literature (2481 small molecules). To facilitate virtual screening, the consensus predictive model was made freely available at: http://enalos.insilicotox.com/TNFPubChem/. We thus generated a priority list of nine small molecules as candidates for direct TNF function inhibition. In vitro evaluation of these compounds led to the selection of two small molecules that act as potent direct inhibitors of TNF function, with IC50values comparable to those of a previously-described direct inhibitor (SPD304), but with significantly reduced toxicity. These molecules were also identified as RANKL inhibitors and validated in vitro with respect to this second functionality. Direct binding of the two compounds was confirmed both for TNF and RANKL, as well as their ability to inhibit the biologically-active trimer forms. Molecular dynamics calculations were also carried out for the two small molecules in each protein to offer additional insight into the interactions that govern TNF and RANKL complex formation. To our knowledge, these compounds, namely T8 and T23, constitute the second and third published examples of dual small-molecule direct function inhibitors of TNF and RANKL, and could serve as lead compounds for the development of novel treatments for inflammatory and autoimmune diseases. © 2017 Melagraki et al.
URI
http://hdl.handle.net/11615/76493
Colecciones
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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