Headed to ACS San Diego? Join us for Happy Hour!
← Back to glossary

Biologics

Definition
Definition
Definition

Biologics, also known as biological drugs, are therapeutic products derived from living organisms, including humans, animals, and microorganisms. These products encompass a wide range of substances such as proteins (e.g., monoclonal antibodies), nucleic acids (e.g., DNA, RNA), vaccines, blood components, and cells used for therapy. Unlike small-molecule drugs, biologics are typically larger and more complex molecules that can target disease pathways through more specific interactions, offering high specificity and efficacy. Biologics thrive where small molecules less effectively inhibit cellular mechanisms that involve interactions between large flexible surfaces. However, because they are large, the trade-off is low bioavailability so that they often must be injected. Other limitations include high production costs and storage requirements.

Importance in Computational Drug Discovery

  1. Targeted Therapies: Biologics can be designed to specifically target disease-causing molecules, pathways, or cells, leading to more effective treatments with fewer side effects.
  2. Complex Diseases: They are particularly useful in treating complex diseases such as cancer, autoimmune disorders, and genetic diseases, where traditional small-molecule drugs may be less effective.
  3. Precision Medicine: Biologics enable the development of personalized medicine approaches, tailoring treatments to individual patient profiles based on genetic, proteomic, and other biomarkers.
  4. Innovation and Development: The field of biologics is rapidly evolving, with advancements in biotechnology, genetic engineering, and synthetic biology driving the discovery and development of new therapeutic modalities.

Key Tools

  1. Rosetta: A software suite for macromolecular modeling and design, widely used for protein engineering, antibody design, and other biologics-related applications.
  2. Schrödinger Suite: Includes tools for molecular dynamics simulations, protein modeling, and structure-based drug design, applicable to biologics.
  3. GROMACS: An open-source molecular dynamics package that can be used to simulate the behavior of biologics at an atomic level.
  4. PyMOL: A molecular visualization tool that aids in the analysis and presentation of biologics structures.
  5. AlphaFold: An AI-based tool for predicting protein structures, which can be used to model biologics and understand their interactions with targets.

Literature

"Immunopurification Reagents and Their Application in Biologics and Biomarker Quantitation Using LC-MS/MS in Drug Discovery"

  • Publication Date: 2022-12-05
  • DOI: 10.1093/chromsci/bmac096
  • Summary: This review discusses the utilization of immunopurification reagents in LC-MS/MS for biologics and biomarker quantitation, highlighting their advantages, applications, and challenges in drug discovery.

"Improving the Pharmaceutical Properties of Biologics in Drug Discovery: Unique Challenges and Enabling Solutions"

  • Publication Date: 2012-05-15
  • DOI: 10.1002/9781118180778.CH5
  • Summary: This chapter provides an overview of the unique challenges in improving the pharmaceutical properties of biologics and discusses enabling solutions in drug discovery.

"Structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery"

  • Publication Date: 2023-07-07
  • DOI: 10.3389/fmolb.2023.1214424
  • Summary: Reviews recent advances in antibody structure prediction using deep learning and their impact on biologics discovery, emphasizing the role of AlphaFold2 and other AI tools.

"The Current Status of Drug Discovery and Development as Originated in United States Academia: The Influence of Industrial and Academic Collaboration on Drug Discovery and Development"

  • Publication Date: 2018-07-30
  • DOI: 10.1111/cts.12577
  • Summary: Investigates the success rates of academic drug discovery projects and the importance of academic-industrial collaboration, focusing on small molecules and biologics.

"ADME of Biologics—What Have We Learned from Small Molecules?"

  • Publication Date: 2012-04-07
  • DOI: 10.1208/s12248-012-9353-6
  • Summary: Reflects on the lessons learned from small molecule drug discovery and their applicability to the ADME characterization of biologics.