Site title

Drug Discovery

for Breast Cancer

  • Aromatase

    A Target Protein for Breast Cancer's Drug

    Aromatase is an enzyme that plays a key role in the biosynthesis of estrogens. It is responsible for the conversion of androgens, such as testosterone and androstenedione, to estrogens, including estradiol and estrone.

  • Aromatase Inhibitors

    Destroy the Catalyst of Estrogen

    Aromatase inhibitors are drugs that block the activity of aromatase and are used in the treatment of hormone-dependent breast cancer. They work by reducing the levels of estrogens in the body, which can slow the growth and spread of cancer cells.

  • Breast Cancer

    Type of Cancer that develops in the breast tissue

    It occurs when abnormal cells in the breast grow in an uncontrolled way, forming a tumor. Breast cancer is the most common cancer among women worldwide, and it can also occur in men, although it is rare.

ChemBL

Chemical Biology Database

Comprehensive database of bioactive molecules, providing information on their biological activities, targets, and medicinal chemistry properties. It serves as a valuable resource for drug discovery and dev't, allowing researchers to explore and analyze chemical structures, pharmacological data, and molecular interactions.

More info

PubChem

Public Chemical Database

Freely accessible database that houses information on the biological activities of small molecules. It comprises chemical structures, properties, biological assays, and associated data. PubChem plays a crucial role in facilitating chemical research, enabling scientists to explore the vast landscape of small molecules and their potential app's.

More info

PDB

Protein Data Bank

Worldwide repository of experimentally determined three-dimensional structures of biological macromolecules, primarily proteins and nucleic acids. PDB provides researchers with access to an extensive collection of structural data, enabling the analysis of protein folding, ligand binding, and molecular interactions.

More info

Data Collection

from ChEMBL database
1.5 /4 months

Gathering large amounts of genetic and molecular data

  • Data Collection
  • Gather Data
  • ChEMBL Database
  • Ready for Analysis

Data Analysis

to Preprocess and Preparation
0.5 /4 months

By various statistical and computational tools

  • Data Analysis
  • Interpret the data
  • Preprocess & Prepare
  • Ready for Build Model

Build Model

with Regression model
1 /4 months

Build predictive models that can identify potential drug

  • Build Model
  • Regression Model
  • Model Comparasion
  • Ready for Deployment

Deployment

with Streamlit
1 /4 months

Developed AI models available for practical use

  • Deployment
  • Use Streamlit
  • HTML, CSS & JS
  • Host on GitHub

Safe & high-speed Discovery

Process of developing new medications and therapies for the treatment of breast cancer using artificial intelligence techniques.

AI algorithms are used to identify and analyze vast amounts of data related to the disease, such as genetic mutations, tumor characteristics, and patient data, to develop new drugs and treatment options that can be personalized to the individual patient.

By leveraging the power of AI, drug discovery for breast cancer can be done faster and more efficiently, potentially leading to more effective treatments and better outcomes for patients.

AI can also help identify patient subgroups that may respond better to certain treatments, leading to personalized medicine and better outcomes for breast cancer patients. Overall, AI has the potential to revolutionize the field of drug discovery for breast cancer and improve patient outcomes.

What can you expect?

  • Up-to-date Information

    Find up-to-date information on the latest advances in AI technologies being used to develop new drugs and treatments for breast cancer.

  • Used for Resources and Tools

    Provide access to resources and tools for researchers, clinicians, and patients, such as data sets, machine learning algorithms, and predictive modeling software.

  • Collaboration and Knowledge Sharing

    Can serve as a platform for collaboration and knowledge-sharing among experts in the field, including researchers, pharmaceutical companies, and patient advocacy groups.