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Drug Formulation Development

Welcome to CD ComputaBio, where we specialize in drug formulation development powered by cutting-edge computer-aided simulations. As a leader in the pharmaceutical industry, our mission is to optimize the design and delivery of new drug formulations, ensuring they not only meet rigorous safety and efficacy standards but also are delivered in a way that maximizes patient outcomes. Our approach combines advanced modeling software, robust methodologies, and a commitment to innovation, making us your ideal partner in drug formulation development.

Introduction to Drug Formulation Development

Drug formulation development is a critical step in the pharmaceutical industry. It involves the creation of a stable and effective drug product that can deliver the therapeutic agent effectively while ensuring patient compliance. A successful drug formulation must consider various factors, including drug solubility, stability, bioavailability, and release profiles.

The workflow of the MD-FIS algorithmFigure 1. The workflow of MD-FIS algorithm. (Yang Y, et al., 2019)

Our Services

CD ComputaBio offers a wide range of services in drug formulation development, designed to meet the specific needs of our clients in the pharmaceutical and biotechnology sectors. Our structured methodology encompasses several key areas:

Preliminary Formulation Screening

Before developing a final formulation, our team conducts a comprehensive preliminary screening of various formulation candidates.

Stability Predictions

Using computational techniques to predict the stability of formulations under different environmental conditions (e.g., temperature, humidity).

Design of Experiments (DoE)

Implementing structured experimental designs to systematically evaluate the impact of formulation variables on drug performance.

Delivery System Optimization

Evaluating and optimizing delivery systems (e.g., nanoparticles, liposomes) to improve bioavailability and targeted delivery.

Analysis Methods

  • Artificial Neural Networks (ANNs)
  • Expert Systems (ESs)
  • Deep Convolutional Networks
  • k-Nearest Neighbors (k-NN)
  • Multivariate adaptive regression spline
  • Deep Neural Networks (DNNs, with five and four hidden layers)
  • Naive Bayes
  • Support Vector Machines (SVM)
  • Random forests (RF, ensemble learning method)
  • Classification and regression tree
  • Multitask Deep Learning
  • One-shot Learning
  • Multiple Linear Regression (MLR, simple and easy to model)
  • Partial Least Squared Regression (PLSR)
  • Cross Validation (multi-fold)

Our Advantages

Cost and Time Efficiency

We leverage computer-aided simulations and traditional experiments to cut research costs and timelines, speeding up market readiness.

Comprehensive Documentation

We offer complete documentation for each formulation stage, giving clients clarity on methods, analyses, and recommendations, including regulatory data packages.

Collaboration and Support

CD ComputaBio emphasizes collaboration, ensuring client engagement for transparency, trust, and shared goals, with ongoing support post-project.

At CD ComputaBio, we are committed to excellence in drug formulation development through innovative methodologies and advanced computational tools. Our comprehensive services cover all aspects of formulation, from initial screening to regulatory compliance, ensuring that clients receive the highest standard of support at every stage of the drug development process. If you are interested in our services or have any questions, please feel free to contact us.

Reference:

  • Yang Y, Ye Z, Su Y, et al. Deep learning for in vitro prediction of pharmaceutical formulations[J]. Acta pharmaceutica sinica B, 2019, 9(1): 177-185.

Services

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