Our analyses focused on a subset of 759 participants (426 women, mean age 19.65±1.24) with BOLD fMRI data surviving a stringent multi-level quality control procedure (
Prodrugs
This conversion can occur through metabolic processes, such as enzymatic hydrolysis or reduction.
Prodrugs are designed to improve the pharmacokinetic or physicochemical properties of a drug, enhancing its solubility, absorption, distribution, or stability.
They may also help to reduce side effects or target the drug to specific tissues or cell types.
Prodrugs are commonly used to improve the delivery of drugs that have poor bioavalibiliy or limited aqueous solubillity.
This description provides a concise overview of prodrugs and their applications in drug development.
Most cited protocols related to «Prodrugs»
Our analyses focused on a subset of 759 participants (426 women, mean age 19.65±1.24) with BOLD fMRI data surviving a stringent multi-level quality control procedure (
companies, Schrodinger/QikProp (QP) (
The SD
files containing the two-dimensional (2D) structures of the two classes
of drugs were subjected to the following steps.
Counterions
were removed, and the base structure was neutralized
where possible (except for quaternary ammonium salts) in AP.
2D structures were converted to 3D using Schrodinger/LigPrep. 3D
structures were used for property calculations in the three molecular
modeling packages listed above, even though some property calculators
require only the topological information.
Customized property
distribution curves were generated using internally
modified AP components, where each nonterminal column includes the
value where it was centered and anything less than the next bin. The
left terminal column also includes all points below the bin, and the
right terminal column includes all points higher than the last bin.
The “preferred” and “qualifying” property
ranges were determined using internally developed programs. The preferred
ranges were the shortest (most populated) property ranges covering
50% of the drugs. The qualifying ranges were the shortest (most populated)
property ranges covering 95% of the drugs. The preferred range is
a shorter range within the qualifying range. Because the population
density of approved drugs is considerably higher in the preferred
range than the population density in the qualifying range, compounds
satisfying the preferred range are expected to have a better survival
rate. The population density usually increases if the percentage of
drug coverage is lowered. However, decreasing the percentage of drug
coverage increases the chance of neglecting good compounds. Preferred
and qualifying ranges described here were a compromise between these
two opposing conditions. Should all approved drugs be considered to
derive the acceptable property ranges? Omitting 5% of the drugs would
help to neglect the outliers resulting from prodrugs or compounds
with active transport mechanisms, which are rare, but the properties
of such compounds are often well outside the more common range. The
95% ranges were fairly wide and would accommodate most compounds that
could be optimized within an acceptable time period. The preferred
range was a highly populated narrow band covering 50% of the approved
drugs, which would be used as a directional guide for future compound
design by moving the property closer to this range.
Qualitative
rules for CNS and non-CNS drugs were derived from the
properties whose distribution curves have different shapes or gradients.
The shape of a distribution curve depended on the location and size
of the bin. When distribution curves are generated, the data range
is rounded and the rounded range is divided into approximately 10
bins.
Several classification trees were derived to differentiate
between
CNS and non-CNS oral drugs. The most promising one was presented here.
Most recents protocols related to «Prodrugs»
Example 6
Compound 3 was generated from the purification process of IL-2 mutein Ala-M1 polymer prodrug 5. During separation of compound 5 on a Capto MMC ImpRes resin the later eluting peak which contains 3 was collected. The collected fraction was diluted with 10 mM succinic acid, pH 5.0 to lower the conductivity to approx. 14 mS/cm and further purified on a Äkta system equipped with a HiScreen Capto Blue column using buffer A (20 mM sodium phosphate, pH 7.5), buffer B (20 mM sodium phosphate, 1 M NaCl, pH 7.5) and a gradient from 0 to 50% buffer B in 6 column volumes. The main peak was collected and concentrated using Amicon Ultra centrifugal device (3 kDa MWCO). The concentrated solution was buffer exchanged to 10 mM Hepes, 150 mM NaCl, 3 mM EDTA, 0.05% polysorbate 20, pH 7.4 by using an Äkta system and a HiPrep 26/10 column and the concentration was adjusted to 0.25 mg/mL to give compound 3.
Example 19
To confirm bioactivity of 3 and 7, experiments were performed with the HH cell line, a mature T cell line derived from peripheral blood of a patient with aggressive cutaneous T cell leukemia/lymphoma (ATCC® CRL-2105™) which been demonstrated to only express the IL-2Rβ/γ. One of the earliest events in cytokine mediated activation of lymphocytes such as CD8+ T cells and NK cells is Janus Associated Kinase mediated phosphorylation and activation of Signal transducer and activator of transcription (pSTAT5). Thus, pSTAT5 was used to measure biological activity of 3 and 7 alongside 12. 3 demonstrated clear bioactivity in IL-2Rβ/γ expressing HH cells (EC50: 773 ng/ml) that was approximately 3.5 fold lower than 12 (EC50: 233 ng/ml). Additionally, 7 induced bioactivity (EC50: 756 ng/ml) very similar to 3, demonstrating that 7 retains bioactivity after being released from prodrug 5 even after accelerated (stress) conditions.
Example 5
2F2B mouse endothelial cells (ATCC, Manassas, Va., USA) were incubated for 2 days in media, upregulated with 10 nM nicotine or 10 μM angiotensin II to express αvβ3 integrin. The cells may then be exposed to integrin-targeted versus nontargeted paclitaxel-GNB nanoparticle treatments with varying drug loads (0.5 to 5 mole %). The cells were also exposed to equivalent amounts of free drug for 30 minutes as a control. Unbound nanoparticles or unabsorbed drug was washed from wells, and cultures were grown for 6 days, and attached viable cell numbers were counted. The number of cells was significantly decreased when treated with paclitaxel-PC prodrug nanoparticles (PC-PTXL), versus equivalent amounts of free Taxol, αvβ3 integrin-targeted nanoparticles alone, or saline (
Example 7
The synthesis of the methotrexate conjugates is described in (
Example 6
For the synthesis of platinum based anti cancer prodrugs, two approaches may be followed. The first approach (
A second approach (
Top products related to «Prodrugs»
More about "Prodrugs"
This conversion process can occur through various metabolic pathways, such as enzymatic hydrolysis or reduction.
Prodrugs are commonly used to improve the delivery and efficacy of drugs that have poor bioavailability or limited aqueous solubility.
The utilization of prodrugs can enhance a drug's pharmacokinetic or physicochemical properties, including its solubility, absorption, distribution, or stability.
This approach may also help to reduce unwanted side effects or target the active compound to specific tissues or cell types.
Prodrugs are particularly beneficial for drugs that struggle with issues like poor absorption, rapid metabolism, or undesirable distribution patterns.
Some key applications of prodrugs include improving the delivery of drugs with limited aqueous solubility, enhancing the stability of labile compounds, and selectively targeting the active drug to a specific site of action.
Prodrug strategies can be employed across a wide range of therapeutic areas, from small molecule pharmaceuticals to biological drugs like peptides and proteins.
When researching prodrugs, researchers may utilize various analytical techniques and tools, such as DMSO for solubility studies, FACSCalibur for cell-based assays, RAW-Blue cells and QUANTI-Blue assays for evaluating biological activity, Prism 9 for data analysis, and microplate readers for high-throughput screening.
Specialized instrumentation like the TCS SP2 AOBS confocal microscope and Zetasizer Nano ZS for particle sizing can also contribute to prodrug development and characterization.
By leveraging the insights provided by the MeSH term description and the Metadescription, researchers can optimze their prodrug research and development efforts, identifying the most effective protocols and prodrug candidates to advance their projects.
The PubCompare.ai platform can be a valuable tool in this process, enabling efficient literature searches, protocol comparisons, and data-driven decision making.