Product Design and Development
Pharma-Biotech and Life-Sciences companies who are into drug designing and screening can benefit significantly by having in-house platforms to explore, visualise, analyse and collaborate various biological data (proteomics data, high throughput screening data, chemo informatics data) across their organisation.
Structure-Activity Relationships (SAR) is pivotal in drug design, analysing how a molecule’s structure impacts its biological activity. By tweaking molecular features and observing activity changes, SAR helps in optimizing compound’s activity and minimizes side effects, guiding new design for better therapeutic outcomes.
The data that goes into the platform can be compound-centric (such as Scaffold, side chains/substitutions, physiochemical properties, library), target-centric (protein, binding site, etc.) as well as even experiment-centric (cell-line, experimental conditions, binding affinities and so on). All the information cumulatively can enable the researcher to take effective decisions while synthesizing active and selective compounds against a given target of interest.
Impact We Can Delivered
Our computational biologist work with systematically refined biological big data with millions of datapoints from experimental studies emerging from researcher’s lab. They explore the refined data to develop a platform in which users can efficiently navigate through a dynamic platform to gain insights and identify the potential lead candidate. We provide an end-to-end solutions from data cleaning, data mapping, data architecture, platform design, visualization engines, integration APIs, testing, and deployment.
1B
data points processed
200
data entities mapped
and integrated
10
increased productivity
Dive into our enhanced solution and experience the difference firsthand.
Our Solutions
A dynamic compound map with more than one billion data points shows compounds and similar compounds. Users can navigate through the protein-compound interaction data visually, enabling them to make drug design decisions based on results from high-throughput screening.
Our engineers are adept at integrating multiple systems, such as compound structure data from MarvinJS, which needs to communicate to the database and dynamically show in the VegaJS visualization engine. Integration of RD Kit enabled users to filter compounds based on compound structural characterization.
During the design phases we gain insights into multiple users groups and how they are working with the data to fulfil their own individual user objectives. This high-level understanding helps us to design the application which is simple enough to navigate by different user groups and at the same time able to cater most of the user needs.
Privacy
platform development in secured environment
Domain
collaboration of cross-functional teams
Agile
iterative design, and development
Our Approach
We are Science and Technology Experts
Our experts speaks both science and technology. While our computational chemist are analysing the requirements from scientific point of view, our tech team will build and experiment with technology stack and architecture which supports customer’s requirements.
Requirement Gathering
We understand the customers requirements and expectations through extensive user interviews. Followed by brainstorming sessions, persona mapping , thus arriving at multiple wireframe options which deliver maximum value.
Technology Stack
Front End
Chemical Structure Drawing
Cheminformatics Toolkit
Data Visualization
Database
SSO Authentication
Database
Infrastructure as a code
Cloud Infrastructure
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