RASA Life Science Informatics

RASA provides a wide array of methods for conventional drug discovery to match the complex and urgent needs of industry. RASA offers high quality non-turnkey approach which emphasizes the importance of expert knowledge of the target field and structural domain. RASA offers services in designing and optimizing virtual library, scaffold hopping, predicting bioactivity, toxicity and ADME properties, protein-protein, protein-ligand and ligand-ligand interactions.

To manage the enormous data generated in the life science labs is an uphill task for majority of life science and clinical research institutes and companies. In order to manage this data there has been development of several tools and databases. These tools are very difficult to understand, customize and develop as per the requirement.

Our Team comprises of experts in the areas of Chemoinformatics, Bioinformatics, Computational Chemistry, Database and Software developments. RASA specializes in designing customized databases according to the customer needs along with the web interface designing. RASA can provide integration of client database to the public available databases. RASA facilitates in solving clients problem by designing customized software solutions in area of life science. List of our Bio-IT services:

• Database development
  
• Customized algorithms and tools development
  
• Add-on and customized applications
  
• Identification Services
  
• Utilities development
  
• Web based solutions
  
• Desktop solutions
  
• Workflow development and integration (KNIME)
  
• Technical Support (providing technical support for scientific support as vender.)
  

Full range of software custom programming:

• We are experts in programming languages like PHP, MySQL, Perl, Java, R and Python for robust and budget controlled client-server solutions (for any platforms).
  
• To deliver results quickly – we consult with you within a given timeframe, gathering information, capturing requirements and providing solutions
  
• We focus on the quality of our analysis and reporting as well as on the speed with which we deliver our results. We are very adaptive to our customer needs.
  

This technology revolves around genomics data and is well-known as massively parallel sequencing. NGS technology has lead to exponential increase in the Genomic data which need further processing and analysis.NGS data analysis includes genome assembly, alignment and variation detection .NGS has a broad range of genetic analysis applications including comparative genomics, high-throughput polymorphism detection, analysis of coding and non-coding RNAs and identifying mutant genes in disease pathways.

We at RASA provide NGS data analysis and NGS product development services. List of our NGS data analysis services:

• Genome annotation, Gene Prediction
  
• Differential Expression Analyses -RNAseq
  
• Structural Genomic Variations – SNPs, indels, CNVs detection
  
• ChIP – Seq analyses and other Protein – DNA/RNA interactions
  
• Metagenomics data analysis
  
• Novel Isoform (Alternative Splicing) Identification
  
• Small & miRNA Sequencing Analysis
  

The "ADME" acronym is commonly used in the pharmaceutical industry to indicate all the phenomena associated with Absorption, Distribution, Metabolism, Elimination. ADME information is critical in all phases of a fully integrated drug development program. A full consideration of all facets of the molecular structure and the impact of that structure on the ADME profile will enable chemists to design out negative ADME attributes (e.g. chemically reactive moieties, avidly metabolized sites) and incorporate "ADME-friendly" attributes (e.g. optimal log P, good membrane permeability).

Hence the prediction of ADME is very critical and helpful in the drug development process. ADME prediction provides the scientist with the following benefits:

1. Focus research efforts on molecules that meet property requirements
   
2. Investigate the influence of changing inter-related properties to gain a deeper understanding of your compounds
   
3. Reduce the need for expensive, labor-intensive assays
   

RASA ADME prediction algorithm calculates :

1. Intrinsic aqueous solubility of organic compounds predicted in logS (Aqueous Solubility), moles/L and grams/L units at 25 degree Celsius and pH 7
   
2. logP (Partition Coefficient) of organic compounds predicted at 25 degree Celsius and pH 7
   
3. logD (Distribution Coefficient)of organic compounds predicted at 25 degree Celsius and pH 7
   
4. pKa - Ionization Constant of organic compounds predicted at 25 degree Celsius and pH 7
   

Deliverables

A report highlighting important finding of ADME predictive study, detailed result in Excel format. Output will also be provided in an SDF format comprising structure of input molecules and predictive results.