Lead Optimization
Lead Optimization - Related Videos
09:40
Lead Analysis of Soil Using Atomic Absorption Spectroscopy
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2023
Source: Laboratories of Margaret Workman and Kimberly Frye - Depaul University Lead occurs naturally in soil, in levels ranging from 10-50 ppm. However, with the widespread use of lead in paint and gasoline in addition to contamination by industry, urban soils often have concentrations of lead significantly greater than background levels – up to 10,000 ppm in some places. Ongoing problems arise from the fact that lead does not biodegrade, and instead remains in the soil. Serious health risks...
01:22
Phase-lead and Phase-lag Controllers
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2024
Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass filters, manage...
04:16
Electrocardiogram Recordings in Anesthetized Mice using Lead II
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Cited by 7 •
2020
We present an ECG protocol that is technically easy, inexpensive, fast, and affordable in small mice, and can be performed with enhanced sensitivity. We suggest this method as a screening approach for studying pharmacological agents, genetic modifications, and disease models in mice.
03:37
Optimal Foraging - Concepts
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2019
Optimal Foraging Organisms must acquire and use resources in their environment to survive. While food is one of the primary resources organisms must search for, individuals also need to seek habitats, shelter, and mates. This process of searching for resources is known as foraging, which involves a series of costs and benefits. More specifically, acquiring a resource provides the organism with a benefit, however, searching and capturing the resource requires expenditure of time and energy.
00:48
Optimal Foraging
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2019
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment. Optimal foraging theory states that natural selection favors foraging strategies that balance the benefits of a particular food, such as energy and nutrients, with the costs of obtaining it, such as energy expenditure and the risk of predation. Optimal foraging maximizes benefits while minimizing costs. For the Crows
FAQs
Structure–activity relationships link deliberate changes in a lead compound’s molecular structure with changes in measured biological activity. Researchers compare related compounds to determine which structural features strengthen target potency, improve selectivity, or reduce unwanted activity. These comparisons guide the next round of molecular design, helping teams make evidence-based modifications rather than relying on isolated assay results.
Increasing potency alone may not produce a suitable drug candidate if the compound also affects unintended targets. Lead optimization therefore evaluates desired target activity alongside off-target effects. Improving selectivity can reduce unwanted pharmacological actions, while maintaining adequate potency supports the intended therapeutic effect. The combined assessment helps balance efficacy with safety during candidate selection.
Absorption, distribution, metabolism, excretion, and toxicity properties influence whether a potent compound can function effectively and safely in an organism. During refinement, researchers weigh these characteristics against target activity and selectivity instead of optimizing one measure in isolation. This integrated evaluation helps identify compounds with more suitable drug-like properties and lowers risks associated with later development.
Computational approaches and medicinal chemistry support the design of modified lead structures before or alongside biological testing. Their results can suggest which structural changes may improve potency, selectivity, or other drug-like properties. Pharmacological assays then provide experimental evidence for those predictions, creating an iterative connection between molecular design and measured biological performance.
A typical workflow begins with a promising compound, followed by deliberate structural modification and testing in pharmacological assays. Researchers analyze the resulting activity, selectivity, and ADMET data, then use those findings to design further compounds. Repeating this cycle gradually identifies candidates that combine desired biological effects with more favorable safety and drug-like characteristics.
The process becomes important after a compound shows sufficient promise to justify systematic refinement but still has limitations in activity, selectivity, safety, or drug-like behavior. By integrating molecular design with biological testing, researchers can compare candidate compounds, support evidence-based selection, and reduce development risks before advancing a more suitable drug candidate.