Service Ecosystem

MOA STUDIES

Automated sequencing of whole cell or single-cell transcriptome to highlight genes and pathways activated by candidate drugs.

Candidate drugs are analysed by substructure to determine functional and cytotoxic residues, selective and non-selective binding sites. Such insight can be used to produce and screen multiple sub-generations of improved derivate compounds.

SSc/SSc-ILD | In vivo

Psoriasis | In vivo

Skin fibrosis | In vivo

Chronic cutaneous inflammation | In vivo

Atopic Dermatitis | In vivo

MOA STUDIES

Analysis of the alterations in the expression levels of proteins/pathways affected by candidate drugs in treated tissues or cells.

MOA STUDIES

Quantifies the changes in the phosphorylation status of a substrate as a result of treatment with drug candidates.

Acute nociception | In vitro

Chemotherapy-induced nociception | In vitro

Pruritus | In vitro

Chemonociception | In vivo

Thermoception | In vivo

Mechanonocipetion | In vivo

Migraine and chronic neuropathy | In vivo

Muscular damage | In vitro

DMD | In vivo

Diabetes | In vitro

IPF/SSc-ILD | In vivo

COPD | In vitro - In vivo

ALI | In vivo

NASH | In viv

Cirrhosis | In vivo

HCC  | In vivo

Cholangitis | In vivo

Acute Liver Failure | In vivo

CKD | In vivo

UUO | In vivo

Kidney stress | In vivo

Osteoarthritis | In vitro

Fibrosis | In vitro

Multiple sclerosis | In vitro

Neuroinflammation | In vitro

Prostatitis | In vitro

Cystitis | In vitro

Joint inflammation | In vivo

Chronic gastric and bowel inflammation | In vivo

MOA STUDIES

By combining the information of a compound with multiple protein targets, prediction algorithms assigns higher scores where the interaction between compounds and targets is more likely.

Prediction tools for structure-based calculation of pharmacokinetic properties related to absorption, distribution, metabolism, and excretion (ADME). From the chemical structure of a compound, it is possible to predict parameters as blood-brain barrier penetration, cytochrome P450 interaction, oral bioavailability, passive absorption, P-glycoprotein specificity, solubility, sites of metabolism etc.

Medium throughput cell-based studies to determine the IC50 and LD50 of candidate hits and to select and prioritize the most potent and less toxic ones. IC50/LD50 studies can be conducted on healthy or pathological models.

Assay development available

Pemphigus  | In vitro

Keratoconus | In vitro

MOA STUDIES

Used to verify and characterize in detail the effect of drug candidates on their targets.

Ototoxicity | In vitro

Tinnitus | In vivo

Mechanic ear damage | In vivo

Drug-induced ototoxicity | In vivo

IBD | In vivo

Cholitis | In vivo

Alzheimer’s Disease | In vitro

Parkinson's Disease | In vivo

Multiple Sclerosis | In vivo

Stroke | In vitro

Ischemia | In vitro

Excitotoxicity | In vitro

Epilepsy | In vitro

BBB damage | In vitro

Biophysical techniques as Surface Plasmon Resonance (SPR) allow to measure in a competitive or non-competitive fashion target binding of candidate drugs with dose-response and high-throughput settings.

Medium and high throughput platforms to screen and select the best candidates within chemical libraries of any source. The readouts employed span from viability/functional/morphological ones to target activation assays. Screening campaigns can be conducted on healthy or pathological models.

Assay development available

Cardiotoxicity | In vitro

Cardiac fibrosis | In vitro

Myocardial infarction | In vivo

Systemic inflammatory response syndrome | In vivo

Cell-based or cell-free studies to measure in a competitive or non-competitive fashion target binding of candidate drugs with dose-response and high-throughput settings.

Rheumatoid Arthritis | In vivo - In vitro

Lupus | In vivo

AI driven virtual screening platform designed to find candidate molecules with larger chemical diversity. In particular, a field-based virtual screening software uses a 3D representation of molecules based on electrostatic, steric and hydrophobic interaction fields derived from semi-empirical Quantum-Mechanics calculations. Such fields describe with high accuracy the factors that determine ligand / receptor interactions. This approach allows to identify candidate molecules with similar chemical properties to reference