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Related Concept Videos

In Vitro Drug Dissolution: Alternative Methods01:17

In Vitro Drug Dissolution: Alternative Methods

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Alternative drug dissolution methods include the rotating bottle, intrinsic dissolution test, peristalsis, and the Franz diffusion cell method. The rotating bottle method involves meticulously rotating tightly capped controlled-release beads in a temperature-controlled bath. Periodic decanting of samples allows for residue assay, followed by refilling with fresh medium and testing at various pH levels to emulate the gastrointestinal tract conditions.In contrast, the intrinsic dissolution test...
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In Vitro Drug Dissolution: Compendial Testing Models I01:13

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Compendial dissolution methods are standardized procedures defined by pharmacopeias to evaluate the rate at which a drug dissolves in a specific medium. These methods ensure batch-to-batch consistency, enable quality control, and support the prediction of drug bioavailability. They are critical for both immediate and modified-release drug products.The apparatuses used for dissolution testing differ in their design and mechanical function, but all aim to simulate the physiological environment of...
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Various dissolution methods are utilized to assess a drug’s dissolution rate, including the flow-through cell, paddle-over-disk, cylinder, and reciprocating disk methods.The flow-through cell apparatus (USP (United States Pharmacopeia) method 4) comprises a reservoir for the dissolution medium and a pump that propels the medium through the cell containing the test sample. This method is crucial for assessing modified-release dosage forms with minimally soluble active ingredients,...
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1001 Ways to run AutoDock Vina for virtual screening.

Mohammad Mahdi Jaghoori1, Boris Bleijlevens2, Silvia D Olabarriaga3

  • 1Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands. mmajid@gmail.com.

Journal of Computer-Aided Molecular Design
|February 22, 2016
PubMed
Summary

This study guides scientists on optimizing large-scale virtual screening experiments using AutoDock Vina. It details how parallelization, reproducibility factors, and execution time analysis improve throughput on various high-performance computing (HPC) platforms.

Keywords:
AutoDock VinaGrid computingHadoopHigh-performance computingMulti-coreReproducibilityVirtual screening

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Area of Science:

  • Computational chemistry and drug discovery.
  • High-performance computing (HPC) applications in life sciences.

Background:

  • Large-scale virtual screening requires significant computational resources.
  • Choosing appropriate high-performance computing (HPC) infrastructure is challenging for biochemists.
  • Understanding technical alternatives impacts the efficiency of virtual screening experiments.

Purpose of the Study:

  • To review considerations for running large virtual screening experiments with AutoDock Vina.
  • To guide scientists in selecting optimal computing platforms and configurations.
  • To illustrate the impact of parallelization, reproducibility, and execution time factors on screening throughput.

Main Methods:

  • Analysis of AutoDock Vina performance on different HPC infrastructures (grid, Hadoop, small cluster, multi-core virtual machine).
  • Experimental evaluation of parallelization strategies and reproducibility measures.
  • Investigation of factors influencing per-ligand execution time (active torsions, heavy atoms, exhaustiveness).

Main Results:

  • Increased parallelization enhances virtual screening throughput on multi-core systems.
  • Random seed capture is insufficient for reproducibility on heterogeneous distributed systems.
  • Optimizing factors like active torsions and exhaustiveness improves overall screening time.
  • Different HPC platforms suit virtual screening experiments of varying scales.

Conclusions:

  • Scientists can improve virtual screening efficiency by understanding computational factors and platform suitability.
  • Informed choices regarding HPC infrastructure and AutoDock Vina configuration are crucial for large-scale drug discovery.
  • This review provides practical guidance for optimizing future virtual screening endeavors.