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Ligand

Definition
Definition
Definition

Ligands are molecules that bind to specific sites on a target protein, often leading to a biological effect. They can be small molecules, peptides, or even larger proteins.

Importance in Computational Drug Discovery

  1. Target Interaction: Ligands interact with proteins to modulate their function, making them essential for understanding biological pathways and disease mechanisms.
  2. Binding Affinity: The strength of the interaction between a ligand and its target is crucial for therapeutic efficacy. Computational tools can predict binding affinities, guiding drug design.
  3. Selectivity: Ligands should selectively bind to target proteins without affecting other proteins, minimizing side effects.
  4. Optimization: Computational methods help optimize ligand structures to enhance their binding properties and pharmacokinetic profiles.

Key Tools

1. AutoDock: Molecular docking software for predicting ligand-receptor interactions.

2. BindingDB: Database for measured binding affinities of drug-like molecules.

3. ChEMBL: Database of bioactive molecules and their binding affinities.

4. DeepOrigin's Docking and Property Prediction Tools: Tools for predicting binding affinities, docking poses, and various molecular properties.

Literature

  1. "Using photolabile ligands in drug discovery and development"
    1. Publication Date: 2000-02-01
    2. DOI: 10.1016/S0167-7799(99)01402-X
    3. Summary: Discusses three approaches: photoaffinity labeling, photoactivation and release of 'caged ligands', and photoimmobilization of ligands onto surfaces.
  2. "Fragment databases from screened ligands for drug discovery (FDSL-DD)"
    1. Publication Date: 2023-11-01
    2. DOI: 10.1016/j.jmgm.2023.108669
    3. Summary: Introduces a new method (FDSL-DD) that incorporates fragment characteristics into the drug development process.
  3. "Virtual Screening Algorithms in Drug Discovery: A Review Focused on Machine and Deep Learning Methods"
    1. Publication Date: 2023-05-05
    2. DOI: 10.3390/ddc2020017
    3. Summary: Reviews algorithms for virtual screening, highlighting the use of machine and deep learning methods in drug design.
  4. "The Opportunities and Challenges of Peroxisome Proliferator-Activated Receptors Ligands in Clinical Drug Discovery and Development"
    1. Publication Date: 2018-07-27
    2. DOI: 10.3390/ijms19082189
    3. Summary: Provides an analysis of 84 types of PPAR ligands and their applications in clinical drug discovery.
  5. "Sustainable Drug Discovery of Multi-Target-Directed Ligands for Alzheimer’s Disease"
    1. Publication Date: 2021-04-08
    2. DOI: 10.1021/acs.jmedchem.1c00048
    3. Summary: Reports the development of sustainable MTDLs derived from cashew nutshell liquid for Alzheimer's disease.
  6. "Molecular Docking: Principles, Advances, and its Applications in Drug Discovery"
    1. Publication Date: 2022-09-22
    2. DOI: 10.2174/1570180819666220922103109
    3. Summary: Reviews the principles and advances in molecular docking and its applications in drug discovery.
  7. "NMR in drug discovery: A practical guide to identification and validation of ligands interacting with biological macromolecules"
    1. Publication Date: 2016-11-01
    2. DOI: 10.1016/j.pnmrs.2016.09.001
    3. Summary: Introduces the concept of the validation cross to categorize experiments based on information content.
  8. "Machine learning approaches and their applications in drug discovery and design"
    1. Publication Date: 2022-04-15
    2. DOI: 10.1111/cbdd.14057
    3. Summary: Reviews machine learning approaches used in chemoinformatics for drug discovery.
  9. "Network pharmacology: the next paradigm in drug discovery"
    1. Publication Date: 2008-11-01
    2. DOI: 10.1038/nchembio.118
    3. Summary: Discusses the role of polypharmacology in tackling efficacy and toxicity in drug development.
  10. "Advances in covalent drug discovery"
    1. Publication Date: 2022-08-25
    2. DOI: 10.1038/s41573-022-00542-z
    3. Summary: Reviews KRAS(G12C) inhibitors and discusses ligand-first and electrophile-first strategies.
  11. "Spotting and designing promiscuous ligands for drug discovery"
    1. Publication Date: 2016-01-05
    2. DOI: 10.1039/c5cc07506h
    3. Summary: Discusses a computational tool for identifying promiscuous drug-like ligands.
  12. "What is the current value of MM/PBSA and MM/GBSA methods in drug discovery?"
    1. Publication Date: 2021-06-24
    2. DOI: 10.1080/17460441.2021.1942836
    3. Summary: Reviews methods for evaluating ligand-receptor interactions and binding free energy.
  13. "Merging Ligand-Based and Structure-Based Methods in Drug Discovery: An Overview of Combined Virtual Screening Approaches"
    1. Publication Date: 2020-10-01
    2. DOI: 10.3390/molecules25204723
    3. Summary: Analyzes hybrid LB + SB computational schemes in virtual screening.
  14. "Electrophilic warheads in covalent drug discovery: an overview"
    1. Publication Date: 2022-02-06
    2. DOI: 10.1080/17460441.2022.2034783
    3. Summary: Reviews electrophilic warheads used for protein labeling in chemical biology and medicinal chemistry.
  15. "Pharmacophore Modeling in Drug Discovery: Methodology and Current Status"
    1. Publication Date: 2021-06-29
    2. DOI: 10.18596/jotcsa.927426
    3. Summary: Discusses the advancements in pharmacophore modeling integrated with other computational methods.