Compare JADBio to the Status-Quo
DRUG DISCOVERY / EARLY DISCOVERY
PRECLINICAL STUDIES
CLINICAL STUDIES
DRUG REPURPOSING
Target Identification
From thousands down to a few
Compound Screening & Optimization
Reduce to a handful drug candidates
Precision/ Personalized Medicine
Define which molecular quantities affect the efficacy, safety and dosage required
Promising Candidate Selection
Select from pool of already-developed drugs
STATUS-QUO: How it’s Done Up to Now
Differential Expression Analysis (DEA)
Scripting/Database-Literature Search
Basic Statistical Analysis
Scripting/Database-Literature Search
Hundreds of candidate features, including redundant/irrelevant ones
Searching for dose-response from existing knowledge
Calculations of measures to obtain basic insights into the data
Searching for dose-response from existing knowledge
Basic ML Tools
Quantitative Structure – Activity Relationship (QSAR) Modeling
Manual Scripting/No ML Automation
Manual Scripting/No ML Automation
Attempt to predict biological activities based on structural properties of compounds
No automated solution
No automated solution
With
UNIQUE INSIGHTS INTO DISEASE ORIGIN
STATE-OF-THE-ART FEATURE SELECTION
TOP FEATURE SELECTION
EFFICIENT FEATURE SELECTION
Holistic (multivariate) analysis on the quantities that regulate the disease
Identify which compound properties determine the structure-activity relationship
Biomarkers for patient stratification and response using clinical, molecular, demographic and/or life-style information
Faster turnaround times, fewer wet/dry lab iterations
4000x REDUCTION IN CANDIDATE BIOMARKERS
PROPRIETARY DOSE – RESPONSE PREDICTION MODELS
SEAMLESS SURVIVAL ANALYSIS
EFFICIENT PREDICTION MODELS
To experimentally screen & validate
Develop models for thousands of compounds based on the genetic profiles of cell lines
Utilizing all the patients in the study, whether having the adverse effect or not
Develop models for thousands of compounds based on the genetic profiles of cell lines