Omics2drugs AI Lab

Integrating Omics and Artificial Intelligence for Next-Generation Drug Discovery

ABOUT

Omics2drugs AI Lab is a team dealing with Computer Aided Drug Design, Data Science and Bioinformatics. We offer cutting-edge solutions to help organizations make the right decisions with their data/results. Our team of experts provide services in Drug Discovery, Bioinformatics, Data Analysis, Data Visualization, Biostatistics, Python, R Programming, Artificial Intelligence, Machine Learning and more.

Our comprehensive approach combines advanced computational methods with biological insights to accelerate the drug discovery process. We specialize in molecular modeling, virtual screening, and predictive analytics to identify promising drug candidates efficiently.

With expertise spanning multiple domains, we deliver tailored solutions that address complex challenges in pharmaceutical research and development.

RESOURCES


Directory

NGS DIRECTORY

Database

CannabinoidDB

Software

MD ANALYSIS TOOL

Discuss your Project Requirements with Us

BIOINFORMATICS

COMPUTER-AIDED DRUG DESIGN

NEXT-GENERATION SEQUENCING

BIOSTATISTICS

Services

Bioinformatics

  • Sequence Alignment
  • Sequence Analysis
  • Phylogentic Tree Construction
  • Gene Network Analysis
  • Protein Network Analysis
  • Protein Function Analysis

Computer-Aided Drug Design

  • Structure-Function Analysis
  • Homology Modelling
  • Molecular Docking
  • Virtual Screening of Natural Compounds
  • Virtual Screening of Synthetic Compounds
  • Protein-Protein Interaction Analysis
  • Molecular Dynamics Simulations
  • Molecular Dynamics Analysis
  • Quantitative Structure Activity Relationship
  • ADME and Toxicity Prediction

Next Generation Sequencing

  • Whole Genome Sequence Analysis
  • RNA-Sequence Analysis
  • Exome Sequence Analysis
  • Targeted Sequence Analysis
  • Metagenomics Analysis
  • SNP/Mutation Analysis
  • Genome-wide Association Study

Biostatistics

  • Protocol Review
  • Data Visualization
  • Statistical Analysis Plan
  • Descriptive Statistics
  • Mean, Median and Mode
  • Statistical Methods
  • Student t-Test, ANOVA
  • Chi-Square Test, Correlation
  • Sample Size and Power Calculations
  • Statistical Analysis Writing
  • Informal Reports