Medicinal Chemistry: Drug Discovery and Design - Comprehensive Study Notes

Drugs are chemicals

  • Physical and chemical properties determine whether a chemical compound will function as a drug:

    • Size

    • Shape

    • H-bonding groups

    • Ionic bonding groups

    • Hydrophilicity

    • Acidity and basicity

    • Chirality

    • Metabolism

    • Rate of excretion

    • Toxicity

    • Etc.

Choosing a disease to target

  • Considerations for disease targeting:

    • Is the disease common in the population?

    • Is there an unmet clinical need or lack of suitable existing medical products?

    • What drugs are already on the market? Efficacy and toxicity data of these drugs?

  • Drug discovery is a costly exercise; pharmaceutical companies seek to market a drug that can recover development and testing costs and earn profit.

  • Questions to be addressed:

    • Ultimately, there must be an unmet clinical need which drives the company’s investment.

Target Selection – Types of drug targets

  • Drug targets can be:

    • Proteins: Receptors, Enzymes, Carrier proteins, Transporter proteins, Ion channels

    • Nucleic Acids: DNA, RNA

  • Example contexts (illustrative): GABA receptor; Doxorubicin interaction with DNA torsion and chromatin dynamics; Doxorubicin-DNA complex.

Target Specificity and Selectivity

  • The more selective and specific a drug is for its target, the lower the chance of off-target side effects.

  • Specific target selection can be achieved by:

    • Selecting a specific receptor subtype (for receptor agonists or antagonists)

    • Selecting a specific isoform of an enzyme (for enzyme inhibitors)

Example - NSAIDs

  • Two cyclo-oxygenase enzymes: COX-1 and COX-2

    • COX-1 regulates physiological functions in the gut and kidney

    • COX-2 is induced in inflammation and repair

  • Selective COX-2 inhibitors show a significantly lower incidence of gastrointestinal adverse effects compared to non-selective COX-1/COX-2 inhibitors.

Drug Design and Development

  • Generally, new drugs are not readily discovered; lead compounds (prototype with attractive activity) are found.

  • Lead compounds often have undesirable characteristics (e.g., high toxicity, other biological activities, poor absorption, insolubility, metabolism issues).

  • Lead compounds are modified by synthesis to amplify desired activity and minimise undesired properties.

  • Resulting in a clinical drug candidate, a compound worthy of extensive biological, pharmacological, and animal studies.

Sources of lead compounds

  • Leads may be of natural or synthetic origin or a mixture (semi-synthetic derivatives of natural products):

    • Natural products: Plant kingdom, Microbes, Marine world, Animal sources, Venoms & toxins, Neurotransmitters and hormones

    • Synthetic products: Chemical synthesis, Library of compounds, Combinatorial synthesis

Finding a Lead Compound

  • Approaches include:

    • Starting from the natural ligand or modulator of a target receptor or enzyme as a lead

    • If the biologically active site is known, simple rational design can yield useful compounds

  • Example: Captopril designed to inhibit angiotensin‑converting enzyme (ACE) to ease vascular constriction; ACE contains a Zn2+ ion in the active site.

  • Natural substance reference: Angiotensin I (as a biological substrate) and a designed inhibitor interacting with the Zn2+ site in ACE.

Finding a Lead Compound – Computer-aided design

  • Computer-aided design is powerful when the 3D shape of the receptor is known.

  • X-ray crystallography can determine protein structure and binding sites.

  • With detailed knowledge of the binding site, molecular modelling software can be used to design new molecules that fit and bind – de novo design.

Finding a Lead Compound – Serendipity

  • Serendipitous discovery: example where a drug initially tested for angina surfaced an unexpected beneficial side effect, later marketed as Sildenafil (Viagra).

Drug Design and Development (practical workflow)

  • Steps include:

    • Find a lead compound

    • Modify the compound to optimise binding at the active site

    • Identify and improve key binding interactions

    • Identify the pharmacophore (essential features for activity)

    • Modify to optimise access to the target

    • Improve adsorption

    • Reduce metabolism

    • Etc.

Goals

  • Primary goals of modification:

    • Increase potency

    • Increase bioavailability

    • Increase therapeutic index (ratio of desirable to undesirable drug effects)

Drug Properties: The Ideal Drug (general expectations)

  • Easily administered; preferably oral over intravenous

  • Slow-release options for extended dosing (e.g., XR, MR, SR)

  • High bioavailability

  • Low dose; convenient dosing schedule (e.g., once per day or less)

  • Minimal side effects; no allergic reactions

  • High therapeutic index

  • Low cost

  • Easy to synthesise or extract from a natural source

Drug Properties: Key factors for activity

  • Structural Properties: MW,extHbonds,extLipophilicity,pKa,extShape,extReactivityMW, ext{H-bonds}, ext{Lipophilicity}, pK_a, ext{Shape}, ext{Reactivity}

  • Physiochemical Properties: extSolubility,extPermeability,extChemicalStabilityext{Solubility}, ext{Permeability}, ext{Chemical Stability}

  • Biochemical Properties: extTransporteraffinity,extBinding,extTargetaffinity,extMetabolismext{Transporter affinity}, ext{Binding}, ext{Target affinity}, ext{Metabolism}

  • Physical Environment: extProteins,extLivingSystemsext{Proteins}, ext{Living Systems}

  • Pharmacokinetics and Toxicity: extClearance,extHalflife,extBioavailability,extLD50ext{Clearance}, ext{Half-life}, ext{Bioavailability}, ext{LD}_{50}

Drug Design

  • Take a lead compound and modify it in a logical fashion:

    • Identify critical binding groups (e.g., ionic bonds, H-bonds, dipole interactions, Van der Waals)

    • Example motif changes in penicillins: a part can be changed while another part is critical for activity

Binding Interactions: Hydrogen Bonds

  • Hydrogen-bonding groups include tertiary amines, carbonyls, ethers (H-bond acceptors)

  • Lone pairs on O and N can interact with a hydrogen on an electronegative atom

  • N can donate one hydrogen bond; O can donate two

  • Fluorine can act as a hydrogen-bond acceptor due to high electronegativity

  • Most other O/N-containing groups (acids, alcohols, phenols, primary/secondary amines, amides) can be both donors and acceptors

Binding Interactions: Ionic Bonds

  • Ionic bonds form between acidic groups (e.g., carboxylate) and basic groups (e.g., ammonium)

  • Classic examples: carboxylate

  • Representative depiction: O− … NR3+ interactions

Binding Interactions: Dipole Bonds

  • Ion‑dipole bonds exist between ionic groups and groups with partial charges

  • Dipole–dipole bonds exist between two polar groups with partial charges

Binding Interactions: Van der Waals

  • Interactions between aromatic rings and non-polar chains can be weak but cumulative

Lead Modification

  • Binding to a receptor is due to one or more interactions; strengthen binding to improve activity

  • Modify a lead to: improve existing interactions, create new interactions, replace atoms/groups to enhance binding

Isosteres

  • Isosteres are atoms or groups with the same valency (outer-shell electrons)

  • Examples: OH has isosteres SH, NH2, CH3; O has isosteres S, NH, CH2

  • Isosteres share similar size/shape/electrons but differ in polarity/reactivity

  • They allow exploration of binding importance by substituting potential essential groups

Isosteres (detailed properties)

  • Changing isosteres may or may not strongly affect the molecule

  • Example comparisons illustrate differences in polarity and electron distribution between similar-sized substitutes

  • Property table-style contrasts (illustrative): bond lengths, angles, van der Waals radii, logP, electronegativity, van der Waals volume

Isosteres – practical example

  • Propanolol: replacing the –O–CH2– unit with other units suggests oxygen may be necessary for activity (e.g., H-bonding or electron-withdrawing effects)

Bioisosteres

  • Replace a functional group with another that retains the same biological activity

  • Not necessarily the same valency; broader than classical isosteres

  • Includes both classical and non-classical isosteres

  • Used to replace a problematic group in a lead that is important for binding but causes toxicity or other issues

Drug Modification

  • Various modification strategies to optimise activity:

    • Change of substituents

    • Change of substituent size

    • Change of substituent position

    • Addition of substituents

    • Extension/contraction of the structure (ring extension/contraction)

    • Simplification of the structure

    • Rigidification of the structure

Drug Modification: Change of substituents

  • Changing easily accessible substituents is a common method

  • Vary alkyl substituents; larger groups can enhance Van der Waals interactions with binding sites

  • Example: methyl to tertiary-butyl increases hydrophobic contact

  • Aromatic groups can be enlarged to maximize interactions; chain extension to fit hydrophobic pockets

  • Replacing carbon-skeleton substituents is often synthetically challenging

Example: Salbutamol

  • Salbutamol (asthma drug) was developed using neurotransmitters like adrenaline/noradrenaline as leads

  • Replacing the amine with larger alkyl substituents yielded selectivity for adrenergic β-receptors over α-receptors

Drug Modification: Addition of substituents

  • Adding an extra substituent can create an additional drug–receptor interaction

Drug Modification: Extension/contraction

  • Ring extension or contraction can adjust the relative positions of binding groups

  • This helps to improve overlap with binding regions

Drug Modification: Simplification of the structure

  • Remove non-essential parts; simplify carbon skeleton; remove non-critical chiral centers

  • Example comparisons: Morphine vs Pethidine (illustrative)

Drug Modification: Rigidification of the structure

  • Leads are often flexible and can bind multiple receptors via different conformations

  • Rigidification reduces conformational freedom to limit off-target binding

  • Can increase potency and selectivity

Prodrugs to improve membrane permeability

  • Parkinson’s disease example: Levodopa is a prodrug of dopamine; it is recognized by carrier proteins to cross membranes; once inside cells, it is converted to dopamine

Prodrugs to improve selectivity

  • Capecitabine: a prodrug of 5-fluorouracil (5-FU) with metabolic activation in multiple steps to localize activation at tumor sites:

    • Oral adsorption

    • Hydrolysis in the liver

    • Decarboxylation (–CO₂)

    • Oxidative deamination in liver and tumor

    • Conversion to 5-FU by thymidine phosphorylase in tumor

  • Result: Improved selectivity for tumor tissue

Introduction: Lipinski's “Rule” of Five

  • A rule of thumb to evaluate drug-likeness for oral activity in humans

  • Notes: It predicts pharmacokinetic properties (ADME) but does not guarantee pharmacological activity

  • Lipinski’s rule focuses on properties relevant to oral bioavailability

Lipinski's Rule of Five

  • Generally, an orally active drug fits at least three of the following:

    • Molecular weight under 500gmol1500 \, \mathrm{g\,mol^{-1}}

    • Not more than five hydrogen bond donors

    • Not more than ten hydrogen bond acceptors

    • LogP < 5

  • Rationale: Not too big; not too soluble or insoluble

Example: Lipinski's Rule of Five

  • Example compound with values: MW = 193.2gmol1193.2\, \mathrm{g\,mol^{-1}}; H-bond donors = 1; H-bond acceptors = 3; LogP = 1.86

  • All values satisfy Lipinski criteria for an orally active drug

Introduction: Veber’s “Rules”

  • Additional rules for oral bioavailability:

    • Ten or fewer rotatable bonds

    • Polar surface area (PSA) ≤ 140A˚2140\, \text{Å}^2

    • Twelve or fewer total hydrogen bonds (donors + acceptors)

  • Example values often cited: H-bond donors = 1; H-bond acceptors = 3; total H-bonds = 4; Rotatable bonds = 5; PSA = 30.5 Ų

Example: Lipinski's Rule of Five & Veber’s “Rule”

  • Doxorubicin (example):

    • MW = 543gmol1543\, \mathrm{g\,mol^{-1}} (exceeds 500)

    • LogP = -1.7

    • H-bond donors = 7 (>5)

    • H-bond acceptors = 12 (>10)

    • Total H-bonds = 19 (>12)

    • Rotatable bonds = 13 (>10)

    • PSA = 206 Ų (> 140)

  • Gate: All Lipinski/Veber criteria are exceeded for Doxorubicin except the LogP value; it is administered by intravenous infusion

Summary

  • Introduced the drug discovery process: choosing a disease, selecting a target, and identifying lead compounds

  • Discussed how drugs interact with the body and the importance of chemical properties in determining success

  • Explained Lipinski’s Rule of Five and Veber’s Rules for predicting oral bioavailability

  • Explored strategies to optimise drug design, including substituent changes, rigidification, and prodrug development

  • Covered common drug–target interactions such as hydrogen bonding, ionic bonding, hydrophobic effects, and Van der Waals forces

  • Used real-world examples (e.g., Levodopa, Capecitabine, Doxorubicin) to illustrate how medicinal chemistry principles are applied in practice