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Drug repositioning is the process of identifying new indications for existing drugs. At present, the conventional de novo drug discovery process requires an average of about 14 years and US$2.5 billion to approve and launch a drug. Drug repositioning can reduce the time and cost of this process because it takes advantage of drugs already in clinical use for other indications or drugs that have cleared phase I safety trials but have failed to show efficacy in the intended diseases. Historically, drug repositioning has been realized through serendipitous clinical observations or improved understanding of disease mechanisms. However, recent technological advances have enabled a more systematic approach to drug repositioning. This eBook collects 16 articles from 112 authors, providing readers with current advances and future perspectives of drug repositioning.

database --- Integrative strategies --- molecular docking --- polypharmacology --- multi-omics --- computational analysis --- Drug Repositioning --- data sharing --- Patenting

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Computer algorithms --- Numerical calculations --- mathematical methods --- numerical methods --- engineering --- mathematics --- computational analysis --- Computer algorithms. --- Numerical calculations. --- Numerical analysis --- Algorithms --- Mathematical statistics --- Mathematics --- Algorithms. --- Computing Methodologies. --- High Performance Computing --- Methodologies, Computing --- Computing Methodology --- Computing, High Performance --- Methodology, Computing --- Performance Computing, High --- Algorithm

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This book reports cutting-edge technology in nanoprobes or nanobiomaterials used for the accurate diagnosis and therapy of tumors, involving a multidisciplinary of chemistry, materials science, oncology, biology, and medicine.

Technology: general issues --- Chemical engineering --- aptamers --- nanomaterials --- cancer --- treatment --- targeting --- NIR-II fluorescent probes --- activatable strategy --- NIR-II fluorescence imaging --- biomarker --- biosensing --- ferritin --- drug delivery --- thermally induced drug loading --- computational analysis --- iron oxide nanoparticles --- magnetotheranostics --- aggregation-induced emission --- NIR-II emission --- phototheranostics --- cancer treatment --- dendrimers --- gold nanoparticles --- CpG-ODN --- immunotherapy --- T cells --- ion interference therapy --- ions --- inorganic nanoparticles --- SERS --- Raman --- microbeads --- multiplex --- immunoassays --- circulating tumor cells --- ovarian cancer --- folic acid --- fluorescent-magnetic nanoparticles --- isolation --- identification --- living sample viability measurement --- atomic force microscopy --- AFM oscillating sensor method --- nanomotion --- n/a

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Protein–ligand interactions play a fundamental role in most major biological functions. The number and diversity of small molecules that interact with proteins, whether naturally or not, can quickly become overwhelming. They are as essential as amino acids, nucleic acids or membrane lipids, enabling a large number of essential functions. One need only think of carbohydrates or even just ATP to be certain. They are also essential in drug discovery. With the increasing structural information of proteins and protein–ligand complexes, molecular modelling, molecular dynamics, and chemoinformatics approaches are often required for the efficient analysis of a large number of such complexes and to provide insights. Similarly, numerous computational approaches have been developed to characterize and use the knowledge of such interactions, which can lead to drug candidates. "Recent Developments on Protein–Ligand Interactions: From Structure, Function to Applications" was dedicated to the different aspect of protein–ligand analysis and/or prediction using computational approaches, as well as new developments dedicated to these tasks. It will interest both specialists and non-specialists, as the presented studies cover a very large spectra in terms of methodologies and applications. It underlined the variety of scientific area linked to these questions, i.e., chemistry, biology, physics, informatics, bioinformatics, structural bioinformatics and chemoinformatics.

Research & information: general --- Biology, life sciences --- Biochemistry --- pimaricin thioesterase --- protein-substrate interaction --- macrocyclization --- molecular dynamics (MD) simulation --- pre-reaction state --- folate --- folate receptor --- peptide conjugation --- click reaction --- biolayer interferometry --- acetylcholinesterase --- resistance --- organophosphorus --- pesticides --- molecular modeling --- lepidopterous --- insects --- conserved patterns --- similarity --- 3D-patterns --- epigenetics --- protein-RNA interaction --- RRM domain inhibitor --- NMR fragment-based screening --- TDP-43 --- galectin-1 --- gulopyranosides --- fluorescence polarization --- benzamide --- selective --- phospholipase C gamma 1 --- SLP76 --- virtual screening --- pharmacophore mapping --- molecular docking --- molecular dynamics --- caspase inhibition --- protein-ligand binding free energy --- Monte Carlo sampling --- docking and scoring --- molecular conformational sampling --- procollagen C-proteinase enhancer-1 --- glycosaminoglycans --- computational analysis of protein-glycosaminoglycan interactions --- calcium ions --- fragment-based docking --- protein–ligand analysis --- drug discovery and design --- structure–activity relationships --- bioremediation --- High Energy Molecules --- HMX --- protein design --- nitroreductase --- flavoprotein --- substrate specificity --- pharmacophore --- secretoglobin --- odorant-binding protein --- chemical communication --- pheromone --- N-phenyl-1-naphthylamine --- in silico docking --- protein–ligand interactions --- 2D interaction maps --- ligand-binding assays --- protein-ligand complexes --- dataset --- clustering --- structural alignment --- refinement --- PD-1/PD-L1 --- immune checkpoint inhibitors --- biphenyl-conjugated bromotyrosine --- amino acid conjugation --- amino-X --- in silico simulation --- IC50 --- pimaricin thioesterase --- protein-substrate interaction --- macrocyclization --- molecular dynamics (MD) simulation --- pre-reaction state --- folate --- folate receptor --- peptide conjugation --- click reaction --- biolayer interferometry --- acetylcholinesterase --- resistance --- organophosphorus --- pesticides --- molecular modeling --- lepidopterous --- insects --- conserved patterns --- similarity --- 3D-patterns --- epigenetics --- protein-RNA interaction --- RRM domain inhibitor --- NMR fragment-based screening --- TDP-43 --- galectin-1 --- gulopyranosides --- fluorescence polarization --- benzamide --- selective --- phospholipase C gamma 1 --- SLP76 --- virtual screening --- pharmacophore mapping --- molecular docking --- molecular dynamics --- caspase inhibition --- protein-ligand binding free energy --- Monte Carlo sampling --- docking and scoring --- molecular conformational sampling --- procollagen C-proteinase enhancer-1 --- glycosaminoglycans --- computational analysis of protein-glycosaminoglycan interactions --- calcium ions --- fragment-based docking --- protein–ligand analysis --- drug discovery and design --- structure–activity relationships --- bioremediation --- High Energy Molecules --- HMX --- protein design --- nitroreductase --- flavoprotein --- substrate specificity --- pharmacophore --- secretoglobin --- odorant-binding protein --- chemical communication --- pheromone --- N-phenyl-1-naphthylamine --- in silico docking --- protein–ligand interactions --- 2D interaction maps --- ligand-binding assays --- protein-ligand complexes --- dataset --- clustering --- structural alignment --- refinement --- PD-1/PD-L1 --- immune checkpoint inhibitors --- biphenyl-conjugated bromotyrosine --- amino acid conjugation --- amino-X --- in silico simulation --- IC50

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Protein–ligand interactions play a fundamental role in most major biological functions. The number and diversity of small molecules that interact with proteins, whether naturally or not, can quickly become overwhelming. They are as essential as amino acids, nucleic acids or membrane lipids, enabling a large number of essential functions. One need only think of carbohydrates or even just ATP to be certain. They are also essential in drug discovery. With the increasing structural information of proteins and protein–ligand complexes, molecular modelling, molecular dynamics, and chemoinformatics approaches are often required for the efficient analysis of a large number of such complexes and to provide insights. Similarly, numerous computational approaches have been developed to characterize and use the knowledge of such interactions, which can lead to drug candidates. "Recent Developments on Protein–Ligand Interactions: From Structure, Function to Applications" was dedicated to the different aspect of protein–ligand analysis and/or prediction using computational approaches, as well as new developments dedicated to these tasks. It will interest both specialists and non-specialists, as the presented studies cover a very large spectra in terms of methodologies and applications. It underlined the variety of scientific area linked to these questions, i.e., chemistry, biology, physics, informatics, bioinformatics, structural bioinformatics and chemoinformatics.

Research & information: general --- Biology, life sciences --- Biochemistry --- pimaricin thioesterase --- protein-substrate interaction --- macrocyclization --- molecular dynamics (MD) simulation --- pre-reaction state --- folate --- folate receptor --- peptide conjugation --- click reaction --- biolayer interferometry --- acetylcholinesterase --- resistance --- organophosphorus --- pesticides --- molecular modeling --- lepidopterous --- insects --- conserved patterns --- similarity --- 3D-patterns --- epigenetics --- protein-RNA interaction --- RRM domain inhibitor --- NMR fragment-based screening --- TDP-43 --- galectin-1 --- gulopyranosides --- fluorescence polarization --- benzamide --- selective --- phospholipase C gamma 1 --- SLP76 --- virtual screening --- pharmacophore mapping --- molecular docking --- molecular dynamics --- caspase inhibition --- protein-ligand binding free energy --- Monte Carlo sampling --- docking and scoring --- molecular conformational sampling --- procollagen C-proteinase enhancer-1 --- glycosaminoglycans --- computational analysis of protein-glycosaminoglycan interactions --- calcium ions --- fragment-based docking --- protein–ligand analysis --- drug discovery and design --- structure–activity relationships --- bioremediation --- High Energy Molecules --- HMX --- protein design --- nitroreductase --- flavoprotein --- substrate specificity --- pharmacophore --- secretoglobin --- odorant-binding protein --- chemical communication --- pheromone --- N-phenyl-1-naphthylamine --- in silico docking --- protein–ligand interactions --- 2D interaction maps --- ligand-binding assays --- protein-ligand complexes --- dataset --- clustering --- structural alignment --- refinement --- PD-1/PD-L1 --- immune checkpoint inhibitors --- biphenyl-conjugated bromotyrosine --- amino acid conjugation --- amino-X --- in silico simulation --- IC50