1/28
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai | Chat |
|---|
No analytics yet
Send a link to your students to track their progress
Walk through drug development process
Discovery and pre-clinical: identify biological target, develop drug, animal test
Phase 1: safety and dosing
Phase 2: efficacy and dosing
Phase 3: efficacy and comparison against other drugs
Submit for approval
FDA approval
Phase 4: long term safety monitoring
Biggest risks at each clinical stage:
Preclinical: drug doesn’t translate from animals to humans
Phase 1: safety and toxicity issues
Phase 2: lack of efficacy
Phase 3: safety issues with large patient population
Regulatory review: FDA rejects application
Commercialization: poor adoption and reimbursement
Common reasons biotech companies fail (4):
Safety issues with drug
Poor differentiation from competitors
Patent expiration
Cash runway problems
Difference between small molecule and large molecule/biologic:
Small molecule is a chemically synthesized compound, made from scratch
Large molecule is a modified organism, human molecule, cell etc
Why are biologics harder to replicate than small molecules:
Biologics use living organisms and are much more chemically complex
More expensive, more advanced equipment/lab needed
Difference between generic drug and biosimilar:
Generic is a copy of a small molecule drug and needs to be the exact same chemical copy due to small size and lack of complexity
Biosimilar is a copy of a biologic and needs to be very biologically similar and serve same purpose but doesn't need to be exact copy due to complex structure
Why are biosimilars less disruptive than generics:
Much more complex and harder to manufacture so less companies can make them after patent expiration
Slower revenue decline for biologics as a result
Explain patent expiry and loss of exclusivity:
During exclusivity, company has monopoly pricing, high margins, and limited competition
After expiration, generics or biosimilars enter so increased competition leads to pricing declines, revenue declines, margins drop
What is the difference between patent expiry and loss of exclusivity:
Patent expiry refers to loss of legal patent expiration, typically 20 years long
LoE refers to the overall commercial milestone when the drug loses all of its legal and regulatory barriers so the market opens for competition
How long does typical drug patent last:
Small molecule: 20 years from patent filing, about 8-12 years of commercial exclusivity
New chemical entity (NCE) receive 5 years of FDA exclusivity, so the FDA cannot approve certain applications even with no patents
Overlaps with the patent period
Biologic: 20 years from patent filing
Gets 12 year FDA exclusivity
* patent controls whether a competitor can legally sell product; FDA exclusivity controls whether the FDA can approve a competitor’s product
How can companies extend patent life:
Patent thicket; new delivery method for drug, new manufacturing method, new indication, new formulation
What aspects of a drug can patents cover:
Composition of matter / active ingredient
Formulation
Manufacturing process
Delivery method
Walk through rNPV valuation:
Drug value = expected cash flow x probability of success x discount rate
Forecast peak sales -> estimate probability of success -> discount to present
Why are discount rates in biotech high (4):
Risk of clinical failures
Regulatory risk
Patent risk: finding ways around patent, eventual patent expiration
Commercial risk: low reimbursement or adoption
What is probability of technical/overall success (PTS/POS):
Probability drug successfully reaches approval
Increases as you go to next phase
Why does a phase 3 biotech company have a higher valuation than phase 1?
Lower clinical risk
Higher probability of approval
Shorter timeline to making revenue
How to forecast revenue for new drug:
Patients x market share/penetration x price
What factors determine peak sales:
Size of addressable market, disease prevalence
Market penetration, amount of competition
Reimbursement
Pricing
Why do large pharma companies acquire biotech companies:
Pipeline replacement: replace expiring drugs
Innovation: acquire innovative and breakthrough technology
Diversification: reduce dependence on one drug
Lower R&D risk: buying phase 1/2/3 assets instead of discovering internally
What are the major regulatory hurdles:
Clinical trial success
FDA approval
Pricing and reimbursement
Difference between FDA approval and commercialization:
FDA approval means the drug is effective and can legally be sold
Commercialization requires physician adoption, insurance coverage, pricing acceptance
How can biotech acquisitions be structured:
Full acquisition: buyer buys entire company
Asset acquisition: buyer buys a single/group of assets from company
Licensing deal: buyer pays upfront cost and milestone payments and royalties
Why use milestone payments in biotech deals:
Buyer reduces risk by having lower upfront cost
Milestone payments to reward furthering success of drug and higher probability of success/approval
Why might a biotech company with 0 revenue have a billion dollar valuation:
Strong assets in their pipeline
IP value
How would you value a company with multiple drugs:
Sum of the parts valuation
Value each asset in pipeline separately and add together
Valuation methods for a drug:
rNPV: forecast peak sales and growth per year for the patent period -> multiply by probability of success -> discount back to present
Decision tree: model out outcomes (often binary) -> assign probabilities and value to each -> multiply each probability and value and add together
Monte carlo simulation: run thousands of scenarios with different assumptions (market share, price, approval/failure, development costs) -> get a confidence level with a range of valuations and a mean/median
Venture capital: estimate an exit value using peak sales and a multiple -> multiply by probability of success to get risk adjusted exit value -> divide by return VC wants (5x,10x etc) -> valuation today
Revenue generating/mature companies
Comps: EV/Rev, EV/EBITDA, Price/sales = EqVal/Rev = Share price/rev per share
Precedent transaction: use past multiples and see acquisition premium
Sum of the parts: value each asset separately using the above methods (rNPV, monte carlo, decision tree) and add together with debt and subtract cash to get EV