BioTech Fundamentals

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Last updated 1:44 AM on 8/22/26
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29 Terms

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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


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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


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Common reasons biotech companies fail (4):

  • Safety issues with drug

  • Poor differentiation from competitors

  • Patent expiration

  • Cash runway problems


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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


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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


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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 


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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


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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


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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


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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



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How can companies extend patent life:

Patent thicket; new delivery method for drug, new manufacturing method, new indication, new formulation

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What aspects of a drug can patents cover:

  • Composition of matter / active ingredient

  • Formulation

  • Manufacturing process

  • Delivery method


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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


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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


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What is probability of technical/overall success (PTS/POS):

  • Probability drug successfully reaches approval

  • Increases as you go to next phase


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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


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How to forecast revenue for new drug:

  • Patients x market share/penetration x price


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What factors determine peak sales:

  • Size of addressable market, disease prevalence

  • Market penetration, amount of competition

  • Reimbursement 

  • Pricing


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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


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What are the major regulatory hurdles:

  • Clinical trial success

  • FDA approval

  • Pricing and reimbursement


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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


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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


23
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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


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Why might a biotech company with 0 revenue have a billion dollar valuation:

  • Strong assets in their pipeline

  • IP value


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How would you value a company with multiple drugs:

  • Sum of the parts valuation

  • Value each asset in pipeline separately and add together


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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


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