Drug Design and Discovery

Expert-defined terms from the Professional Certificate in Structural Bioinformatics for Neuroscience course at London School of Planning and Management. Free to read, free to share, paired with a globally recognised certification pathway.

Drug Design and Discovery

Drug Design and Discovery #

Drug design and discovery refer to the process of identifying new medications by… #

This field combines principles of chemistry, biology, pharmacology, and computational modeling to develop effective and safe drugs. The goal of drug design is to create compounds with desired pharmacological properties, such as high potency, selectivity, and minimal side effects. Drug discovery involves several stages, including target identification, lead compound identification, optimization, and preclinical and clinical testing.

Active Site #

The active site of a protein is a specific region where substrate molecules bind… #

In drug design, understanding the active site of a target protein is crucial for designing molecules that can interact with the protein and modulate its activity. By targeting the active site, researchers can develop drugs that inhibit or activate the protein's function, leading to therapeutic effects.

Binding Affinity #

Binding affinity refers to the strength of interaction between a drug molecule a… #

A high binding affinity indicates a tight association between the drug and the protein, leading to a more potent and effective drug. Measuring binding affinity is essential in drug design to optimize the drug's properties and enhance its therapeutic potential.

Bioinformatics #

Bioinformatics is a field that combines biology, computer science, and statistic… #

In drug design, bioinformatics tools are used to predict the structure and function of biological molecules, identify potential drug targets, and optimize drug candidates for specific diseases.

Chemoinformatics #

Chemoinformatics is a subdiscipline of bioinformatics that focuses on the comput… #

In drug design, chemoinformatics tools are used to predict the activity, toxicity, and pharmacokinetics of drug molecules, as well as to design new compounds with desired properties.

Drug Target #

A drug target is a specific molecule, such as a protein or nucleic acid, that is… #

Identifying and characterizing drug targets is essential in drug design, as it allows researchers to develop drugs that selectively interact with the target and alter its activity.

High #

Throughput Screening:

High #

throughput screening is a drug discovery technique that involves testing large libraries of compounds against biological targets to identify potential drug candidates. By screening thousands or millions of compounds in a short period, researchers can quickly identify molecules that show activity against the target of interest, accelerating the drug discovery process.

Ligand #

A ligand is a molecule that binds to a specific target protein, such as a recept… #

In drug design, ligands are often small molecules that interact with the active site of a protein to inhibit or activate its function. Designing ligands with high affinity and specificity for the target protein is crucial for developing effective drugs.

Pharmacophore #

A pharmacophore is a spatial arrangement of functional groups in a molecule that… #

Pharmacophore modeling is used in drug design to identify key structural features that are required for a ligand to bind to its target protein and exert a therapeutic effect. By optimizing the pharmacophore of a drug molecule, researchers can enhance its potency and selectivity.

Pharmacokinetics #

Pharmacokinetics is the study of how drugs are absorbed, distributed, metabolize… #

Understanding the pharmacokinetic properties of a drug is crucial in drug design to optimize its dosage, dosing regimen, and route of administration for maximum efficacy and safety. Factors such as bioavailability, half-life, and drug interactions are important considerations in pharmacokinetics.

Pharmacophore #

A pharmacophore is a spatial arrangement of functional groups in a molecule that… #

Pharmacophore modeling is used in drug design to identify key structural features that are required for a ligand to bind to its target protein and exert a therapeutic effect. By optimizing the pharmacophore of a drug molecule, researchers can enhance its potency and selectivity.

Protein #

Ligand Interaction:

Protein #

ligand interaction refers to the binding of a ligand molecule to a target protein, such as an enzyme or receptor, to modulate its activity. Understanding the molecular interactions between proteins and ligands is essential in drug design to predict the binding mode, affinity, and selectivity of drug candidates. Computational methods, such as molecular docking and molecular dynamics simulations, are used to study protein-ligand interactions.

QSAR (Quantitative Structure #

Activity Relationship):

QSAR is a computational modeling technique used in drug design to predict the bi… #

By correlating the physicochemical properties of compounds with their pharmacological effects, QSAR models can help researchers identify new drug candidates with desired properties. QSAR analysis is valuable in optimizing lead compounds and prioritizing them for further development.

Structure #

Based Drug Design:

Structure #

based drug design is an approach that involves designing drug molecules based on the three-dimensional structure of the target protein. By elucidating the atomic details of protein-ligand interactions, researchers can rationally design compounds that fit into the active site of the protein and modulate its function. Structure-based drug design is a powerful tool for developing highly selective and potent drugs.

Virtual Screening #

Virtual screening is a computational technique used in drug design to identify p… #

By simulating the binding of virtual compounds to a target protein using molecular docking or pharmacophore modeling, researchers can prioritize molecules with the highest likelihood of activity for experimental testing. Virtual screening accelerates the drug discovery process by narrowing down the pool of compounds to be synthesized and tested.

Fragment #

Based Drug Design:

Fragment #

based drug design is an approach that involves designing drug molecules by assembling small chemical fragments into larger compounds that bind to a target protein. By starting with low molecular weight fragments that interact with different regions of the protein, researchers can optimize the compound's binding affinity and selectivity. Fragment-based drug design is particularly useful for challenging drug targets with shallow binding pockets.

Lead Optimization #

Lead optimization is the process of refining and improving initial drug candidat… #

By iteratively modifying the chemical structure of a lead compound based on structure-activity relationships, researchers can optimize its potency, selectivity, and pharmacokinetic profile. Lead optimization is a crucial step in drug design to maximize the chances of success in clinical trials.

ADME (Absorption, Distribution, Metabolism, Excretion) #

ADME refers to the pharmacokinetic properties of a drug, including its absorptio… #

Understanding the ADME profile of a drug is essential in drug design to predict its bioavailability, half-life, and potential for drug-drug interactions. Optimizing the ADME properties of a drug can improve its efficacy and safety.

Hit #

to-Lead:

Hit #

to-lead is a stage in the drug discovery process where initial hits, or active compounds identified through screening, are optimized to become lead compounds with improved potency and selectivity. By iteratively modifying the chemical structure of hit compounds based on structure-activity relationships, researchers can prioritize promising leads for further development. Hit-to-lead optimization aims to identify drug candidates with the potential for clinical success.

Pharmacodynamics #

Pharmacodynamics is the study of how drugs exert their effects on the body by in… #

Understanding the pharmacodynamic properties of a drug is essential in drug design to predict its mechanism of action, potency, and efficacy. Factors such as receptor binding, signal transduction, and downstream effects are important considerations in pharmacodynamics.

Pharmacokinetics #

Pharmacokinetics is the study of how drugs are absorbed, distributed, metabolize… #

Understanding the pharmacokinetic properties of a drug is crucial in drug design to optimize its dosage, dosing regimen, and route of administration for maximum efficacy and safety. Factors such as bioavailability, half-life, and drug interactions are important considerations in pharmacokinetics.

Hit Identification #

Hit identification is the process of screening large chemical libraries to ident… #

Hits are initial leads in the drug discovery process that have the potential to be further optimized into drug candidates. By screening diverse compound libraries using high-throughput screening or virtual screening methods, researchers can identify hits with promising pharmacological properties.

Fragment #

Based Drug Design:

Fragment #

based drug design is an approach that involves designing drug molecules by assembling small chemical fragments into larger compounds that bind to a target protein. By starting with low molecular weight fragments that interact with different regions of the protein, researchers can optimize the compound's binding affinity and selectivity. Fragment-based drug design is particularly useful for challenging drug targets with shallow binding pockets.

Pharmacophore #

A pharmacophore is a spatial arrangement of functional groups in a molecule that… #

Pharmacophore modeling is used in drug design to identify key structural features that are required for a ligand to bind to its target protein and exert a therapeutic effect. By optimizing the pharmacophore of a drug molecule, researchers can enhance its potency and selectivity.

Pharmacophore Modeling #

Pharmacophore modeling is a computational technique used in drug design to ident… #

By analyzing the spatial arrangement of functional groups in active ligands, researchers can generate a pharmacophore hypothesis that guides the design of new drug candidates. Pharmacophore modeling is valuable in optimizing ligands for specific drug targets.

Pharmacovigilance #

Pharmacovigilance is the practice of monitoring and evaluating the safety and ef… #

Pharmacovigilance aims to detect, assess, and prevent adverse drug reactions, as well as to ensure the continued safety of marketed drugs. By collecting and analyzing real-world data on drug use and patient outcomes, pharmacovigilance helps to inform regulatory decisions and improve patient care.

Protein Engineering #

Protein engineering is the design and modification of proteins to create novel f… #

In drug design, protein engineering is used to optimize the binding affinity, specificity, and stability of target proteins for drug screening and development. By engineering proteins with desired characteristics, researchers can accelerate the drug discovery process and overcome challenges in targeting complex biological pathways.

Pharmacokinetics #

Pharmacokinetics is the study of how drugs are absorbed, distributed, metabolize… #

Understanding the pharmacokinetic properties of a drug is crucial in drug design to optimize its dosage, dosing regimen, and route of administration for maximum efficacy and safety. Factors such as bioavailability, half-life, and drug interactions are important considerations in pharmacokinetics.

Structure #

Activity Relationship (SAR):

Structure #

activity relationship (SAR) is a principle in drug design that describes the relationship between a compound's chemical structure and its biological activity. By studying how changes in the chemical structure of a molecule affect its pharmacological properties, researchers can optimize the compound's potency, selectivity, and safety profile. SAR analysis is valuable in lead optimization and rational drug design.

Target #

Based Drug Design:

Target #

based drug design is an approach that involves identifying a specific biological target, such as a protein or nucleic acid, and designing drug molecules to interact with that target. By focusing on the molecular mechanisms of disease and the structure of the target protein, researchers can rationally design compounds that modulate its activity and have therapeutic effects. Target-based drug design is a powerful strategy for developing drugs with high selectivity and efficacy.

ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) #

ADMET is an extension of the ADME concept that includes toxicity as an additiona… #

Evaluating the ADMET properties of a drug candidate helps to predict its safety profile, potential for adverse effects, and overall risk-benefit balance. By assessing the absorption, distribution, metabolism, excretion, and toxicity of a drug, researchers can optimize its pharmacological properties and minimize the risk of harmful outcomes.

Cheminformatics #

Cheminformatics is a field that combines chemistry, computer science, and inform… #

In chemoinformatics, computational tools are used to predict the physicochemical properties, biological activities, and toxicity of chemical compounds, as well as to design new molecules with desired properties. Cheminformatics plays a crucial role in optimizing drug candidates and accelerating the drug development process.

Fragment #

Based Drug Design:

Fragment #

based drug design is an approach that involves designing drug molecules by assembling small chemical fragments into larger compounds that bind to a target protein. By starting with low molecular weight fragments that interact with different regions of the protein, researchers can optimize the compound's binding affinity and selectivity. Fragment-based drug design is particularly useful for challenging drug targets with shallow binding pockets.

Homology Modeling #

Homology modeling is a computational technique used in structural bioinformatics… #

In drug design, homology modeling is used to generate structural models of target proteins for virtual screening and rational drug design. By predicting the structure of a protein of interest, researchers can identify potential binding sites and design ligands with high affinity.

Lead Compound #

A lead compound is an initial drug candidate with promising pharmacological acti… #

Lead compounds are identified through hit-to-lead optimization and screening of compound libraries for activity against a target protein. By iteratively modifying the chemical structure of lead compounds based on structure-activity relationships, researchers can develop preclinical drug candidates with improved potency and selectivity.

Pharmacophore #

A pharmacophore is a spatial arrangement of functional groups in a molecule that… #

Pharmacophore modeling is used in drug design to identify key structural features that are required for a ligand to bind to its target protein and exert a therapeutic effect. By optimizing the pharmacophore of a drug molecule, researchers can enhance its potency and selectivity.

Quantitative Structure #

Activity Relationship (QSAR):

QSAR is a computational modeling technique used in drug design to predict the bi… #

By correlating the physicochemical properties of compounds with their pharmacological effects, QSAR models can help researchers identify new drug candidates with desired properties. QSAR analysis is valuable in optimizing lead compounds and prioritizing them for further development.

Virtual Screening #

Virtual screening is a computational technique used in drug design to identify p… #

By simulating the binding of virtual compounds to a target protein using molecular docking or pharmacophore modeling, researchers can prioritize molecules with the highest likelihood of activity for experimental testing. Virtual screening accelerates the drug discovery process by narrowing down the pool of compounds to be synthesized and tested.

Drug Repurposing #

Drug repurposing, also known as drug repositioning, refers to the process of ide… #

By leveraging the known safety profile and pharmacokinetics of approved drugs, researchers can explore alternative applications in other diseases. Drug repurposing offers a cost-effective and time-efficient strategy for drug discovery, as it bypasses many of the early stages of drug development.

Pharmacokinetics #

Pharmacokinetics is the study of how drugs are absorbed, distributed, metabolize… #

Understanding the pharmacokinetic properties of a drug is crucial in drug design to optimize its dosage, dosing regimen, and route of administration for maximum efficacy and safety. Factors such as bioavailability, half-life, and drug interactions are important considerations in pharmacokinetics.

Pharmacogenomics #

Pharmacogenomics is the study of how an individual's genetic makeup influences t… #

By analyzing genetic variations in drug-metabolizing enzymes, drug transporters, and drug targets, researchers can predict an individual's likelihood of responding to a particular medication and experiencing adverse effects. Pharmacogenomics plays a crucial role in personalized medicine by tailoring drug treatments to an individual's genetic profile for improved efficacy and safety.

Protein Structure Prediction #

Protein structure prediction is a computational technique used in structural bio… #

In drug design, protein structure prediction is used to model target proteins for virtual screening and rational drug design. By predicting the structure of a protein of interest, researchers can identify potential binding sites and design ligands with high affinity.

Rational Drug Design #

Rational drug design is an approach that involves designing drug molecules based… #

By understanding the molecular mechanisms of disease and the interactions between proteins and ligands, researchers can rationally design compounds that modulate the target protein's activity and have therapeutic effects. Rational drug design aims to optimize the drug's properties and increase its likelihood of success in clinical trials.

Structure #

Based Drug Design:

Structure #

based drug design is an approach that involves designing drug molecules based on the three-dimensional structure of the target protein. By elucidating the atomic details of protein-ligand interactions, researchers can rationally design compounds that fit into the active site of the protein and modulate its function. Structure-based drug design is a powerful tool for developing highly selective and potent drugs.

Fragment #

Based Drug Design:

Fragment #

based drug design is an approach that involves designing drug molecules by assembling small chemical fragments into larger compounds that bind to a target protein. By starting with low molecular weight fragments that interact with different regions of the protein, researchers can optimize the compound's binding affinity and selectivity. Fragment-based drug design is particularly useful for challenging drug targets with shallow binding pockets.

Lead Optimization #

Lead optimization is the process of refining and improving initial drug candidat… #

By iteratively modifying the chemical structure of a lead compound based on structure-activity relationships, researchers can optimize its potency, selectivity, and pharmacokinetic profile. Lead optimization is a crucial step in drug design to maximize

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