Trimming out-of-pocket R&D costsDemocratizing Chemical Big Data Analysis

Ali Hussein Ph.D.PatSnap

Chemical R&D productivity needs improving.

The big squeeze

Existing

substance?

Protected?

Medical?

Competitors commercialising?

New or old area of chemistry?

Can humans take it? Is it a pill? Is it

inhaled?

What are its medical properties?

Is it toxic to the environment?

Does it smell?

Does it have a taste?

Natural Sources for Organic Marker?

Cosmetic?Material?

$2.6 billionEstimated cost of getting prescription

drugs to market.

1414 drug candidates fail clinical trials for

every 1 successful drug.

Global drug-pricing concerns leading to

tougher price controls.

65%R&D productivity has declined 65%

over the past three decades.

Scientists have questions

Existing

substance?

Protected?

Medical?

Competitors commercialising?

New or old area of chemistry?

Can humans take it? Is it a pill? Is it

inhaled?

What are its medical properties?

Is it toxic to the environment?

Does it smell?

Does it have a taste?

Natural Sources for Organic Marker?

Cosmetic?Material?

You have hundreds of scientists in your teams.

They could be working on any project, but need answers.

Maybe they needs insights into chemicals targeting protein,

including activities, toxicities, and methods.

Scientists need answers

Existing

substance?

Protected?

Medical?

Competitors commercialising?

New or old area of chemistry?

Can humans take it? Is it a pill? Is it

inhaled?

What are its medical properties?

Is it toxic to the environment?

Does it smell?

Does it have a taste?

Natural Sources for Organic Marker?

Cosmetic?Material?

??

?

??

?

?

??

?

??

?

?

They bring in the in-house data science team to reveal insights.

Answers from big data projects

Existing

substance?

Protected?

Can humans take it? Is it a pill? Is it

inhaled?

What are its medical properties?

■ Stage 1: Understanding the idea or question to be answered.

Stage 1.1 Fill in Data Project Application

Stage 1.2 Project Scoping Meeting

Stage 1.3 Post-researching Project Confirmation Meeting

■ Stage 2: Data Acquisition

■ Stage 3: Data Cleaning and Processing

■ Stage 4: Data Linking together with connections

■ Stage 5: Build Visualisations

They bring in the in-house data science team to reveal insights.

Answers from big data projects

Existing

substance?

Can humans take it? Is it a pill? Is it

inhaled?

Medical?

Competitors commercialising?

New or old area of chemistry?

Does it smell?

Does it have a taste?

Natural Sources for Organic Marker?

Cosmetic?Material? Data Visualisations

Data Link UpData CleaningData Acquiring

Project Sync Up

1. The process takes 6 months!

Apprx. 6 months

They bring in the in-house data science team to reveal insights.

Answers from big data projects

Existing

substance?

Can humans take it? Is it a pill? Is it

inhaled?

Medical?Cosmetic?

2. The process carries considerable out-of-pocket costs.• $113,436 average salary of a trained data scientist. 5

• $700K is spent on processing every 3TB of information. 6

• All the while, the R&D project remains stalled and stagnant.

They bring in the in-house data science team to reveal insights.

Answers from big data projects

Existing

substance?

Can humans take it? Is it a pill? Is it

inhaled?

Medical?Cosmetic?

3. Demand for Data scientists exceeds supply• 50% greater demand for Data scientists

than there are available. 7

• Not just competing with chemical

companies for this resource, but also

Google, Apple and Microsoft.

More questions than answers

Project Strategy

Substance Screening

Substance Optimization

Substance Commercialization

IPStrategy

Data Analyst Team

Clinical TrialsPre-clinical DevelopmentProject Scoping

Project Scoping

Target identification Substance Optimization

Substance screening Substance commercialization

Incomplete Solution: Delegate

Project Strategy

Substance Screening

Substance Optimization

Substance Commercialization

IPStrategy

Data Analyst Team

Clinical TrialsPre-clinical DevelopmentProject Scoping

Project Scoping

Target identification Substance Optimization

Substance screening Substance commercialization

Scalable Solution: Democratize

Project Strategy

Substance Screening

Substance Optimization

Substance Commercialization

IPStrategy

Data Analyst Team

Clinical TrialsPre-clinical DevelopmentProject Scoping

Project Strategy

Target identification Substance Optimization

Substance screening Substance commercialization

Democratizing chemical big data to find answers effectively and efficiently.

What democratization requires

Glean insights on your proprietary chemicals

Analyze information on molecular functions, competitive trends

and adjacent technologies of neighbouring structures.

Evaluate project feasibility intuitively across multiple data points

Patents, Reg. Approvals, Clinical Trials, Toxicity Measures and more.

Holistic visualization of surrounding competitive chemistry

Be strategic with targeted analysis on the markets, technologies,

companies, time spans, clinical trials, and approvals surrounding your

proprietary chemical’s landscape.

Getting from idea-to-development-to-product quicker leads to:

• Higher revenues with every month of extra product sales

• Reduced costs of every more month of R&D and clinical trials

• Derisked chances of losing IP rights by first-to-file

• Introduce more world-changing materials, medical cures and

innovative products.

What democratization provides

Clinical TrialsPre-clinical DevelopmentProject ScopingMarket

Clinical TrialsPre-clinical DevelopmentProject ScopingMarket

Extra market presence