Related Experiment Video
Updated: Jan 24, 2026
05:50
Pharmacophore Modeling for Targets with Extensive Ligand Libraries: A Case Study on SARS-CoV-2 Mpro
Published on: September 26, 2025
1.5K
Pharmacophore modeling: advances and pitfalls.
Mahmoud Y Elsaka1, M Modather Taha1, Amr Tayel1,2
1Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Alsalam University in Egypt, Tanta, Egypt.
Frontiers in Molecular Biosciences
|January 23, 2026
Summary
Pharmacophore modeling, a key computational tool in drug discovery, now integrates AI and dynamic models for enhanced accuracy. Despite limitations like conformational bias, hybrid approaches improve its real-world utility.
Area of Science:
- Computational chemistry and cheminformatics
- Drug discovery and development
- Bioinformatics and computational biology
Background:
- Pharmacophore modeling has transitioned from a static concept to a vital computational tool in modern drug discovery.
- Recent advancements include multi-pharmacophore strategies and dynamic pharmacophore models (dynophores) from molecular dynamics simulations.
Purpose of the Study:
- To review the evolution and current state of pharmacophore modeling in drug discovery.
- To highlight the impact of AI and machine learning on pharmacophore methodologies.
- To discuss the strengths, limitations, and future directions of pharmacophore modeling.
Main Methods:
- Review of recent literature on pharmacophore modeling advancements.
- Integration of artificial intelligence and machine learning in feature extraction and virtual screening.
- Development and application of dynamic pharmacophore models (dynophores).
Main Results:
- Pharmacophore modeling now incorporates multi-pharmacophore strategies and dynamic models for better ligand and target representation.
- AI and machine learning significantly enhance virtual screening accuracy and predictive performance.
- Case studies demonstrate both the utility and constraints of current pharmacophore methods for specific targets.
Conclusions:
- Pharmacophore modeling continues to evolve, with AI and dynamic approaches offering significant improvements.
- Challenges such as conformational bias and computational cost persist.
- Hybrid approaches combining various methods are crucial for enhancing the reliability and practical application of pharmacophore models in drug discovery.
Related Concept Videos
00:56Extraction: Advanced Methods
1.1K
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
1.1K
02:22Overview of Advanced Functional Groups
29.3K
Functional groups are groups of atoms with specific chemical properties that occur within organic molecules and are sometimes denoted as “R”. Functional groups can “functionalize” a compound by enabling it to adopt different physical and chemical properties.
Types of Advanced Functional Groups
The table below summarizes some of the major functional groups in organic chemistry.
29.3K
01:08Sample Preparation for Analysis: Advanced Techniques
1.3K
Accurate analysis of complex samples often requires advanced preparation techniques to achieve reliable and reproducible results. Samples containing inorganic or organic materials can be challenging to dissolve or decompose effectively. Standard sample preparation methods include acid digestion, fusion, dry ashing, and wet digestion.
Acid digestion with strong acids is commonly used to dissolve inorganic materials that are insoluble (do not dissolve) in water. This method can be useful for...
Acid digestion with strong acids is commonly used to dissolve inorganic materials that are insoluble (do not dissolve) in water. This method can be useful for...
1.3K
01:30Cardiopulmonary Resuscitation V: Advanced Airway Management Techniques
501
Airway management is essential in emergency and surgical medicine, ensuring ventilation and oxygenation in patients who cannot maintain their own airway. Clinicians use a range of techniques and devices to secure the airway, depending on the patient’s condition and the clinical context. Key methods include endotracheal intubation, rapid sequence intubation (RSI), supraglottic airway devices, and advanced visualization aids. In cases where these approaches fail, surgical airway...
501
02:00Molecular Models
43.6K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
43.6K
02:18The Bohr Model
80.5K
Following the work of Ernest Rutherford and his colleagues in the early twentieth century, the picture of atoms consisting of tiny dense nuclei surrounded by lighter and even tinier electrons continually moving about the nucleus was well established. This picture was called the planetary model since it pictured the atom as a miniature “solar system” with the electrons orbiting the nucleus like planets orbiting the sun. The simplest atom is hydrogen, consisting of a single proton as the...
80.5K