Projects & Apps
Projects & Apps
We have assisted our clients in analyzing and understanding their data more thoroughly, unlocking complete insights and significantly accelerating their drug development programs.
Beyond direct data analysis, we've partnered with organizations of all sizes to create custom scientific software ranging from automated data analysis pipelines and bespoke databases to advanced data visualization tools.
We can help your organization automate processes, from transforming your data stored in Excel spreadsheets into a secure, reproducible format, to developing a custom ML pipeline for generating insights, and even crafting an AI assistant that comprehends your entire research programs and all data you have generated so far in seconds.
Below, we detail a few of our recent projects.
DrugREV
DrugRev is a molecular engine we developed to explore the chemical binding activity, pharmacokinetics, and side effects of drug-like molecules. We have mined several databases like PDB, DrugBank, ChEMBL, and FAERS, and built a suite of 3D visualization and docking as well as statistical analyses and deep learning models that have helped our clients predict whether a molecule will engage its intended target in a “clean” and efficacious fashion.
In addition, DrugRev offers generative capabilities, allowing users to design drug-like molecules with a specified activity profile against a particular set of targets. This includes the option to ensure that the molecule does not engage with designated off-targets or groups of targets. These combined features make DrugRev a powerful tool for streamlining the drug discovery process and enhancing the development of safe and effective therapeutics.
BAYESIC
Multiple datasets spanning various data types—such as GWAS, transcriptomics, binary data, and other specialized measurements—are common in genomics. Yet integrating them is challenging, often reducing the process to a rigid funnel where only genes with positive results in every dataset are considered.
Our solution, Bayesic, tackles this issue. This Bayesian data integration platform selects the right priors for each data type and converts their contributions into weighted posterior probabilities, enabling a more flexible evaluation where a negative result in one dataset doesn't automatically disqualify a gene.
Targette 🎯
Over the past decade, numerous powerful biological technologies have emerged. To succeed, both new and established approaches require precise identification and validation of the right genes, proteins, or pathways.
Our team frequently supports these target identification and validation tasks. One example is Targette, an app that integrates GWAS, transcriptomics, single-cell technologies, and pathway analyses to effectively connect molecular data to phenotypes.
Targette's integrative approach has enabled our clients to quickly narrow their focus to a handful of high-potential genomic targets applicable across multiple indications. Its advanced analytics further provide critical context, allowing researchers to confidently select targets free from unwanted ancillary pathways or problematic downstream interactions, such as complex protein-protein networks.
Grimoire 📖
Over the past few years, AI has evolved into an indispensable business asset. The challenge now is to deploy it in ways that enrich experimental results and interpretation, streamline operations, and safeguard your data.
At MatGen, we've pioneered custom AI solutions, with Grimoire standing out as a prime example. Leveraging extensive databases and a client-centric scalable cloud architecture, we built an LLM assistant equipped with a robust Retrieval Augmented Generation (RAG) framework using LangChain.
This dynamic system seamlessly supercharged our clients' computational and data modeling capabilities and opened up exciting new avenues for insight and discovery.
Our expertise encompasses the computational tools and best practices used by leading biopharmaceutical companies as well as top tech-bio and software organizations. We ensure your analytical stack not only meets but surpasses the standards of industry leaders.
How to get started with MatGen
How to get started with MatGen
We have made sure that the or working with MatGen is as smooth as possible from the logistical perspective. Navigate here to learn how the engagement process with MatGen works.
Finally, book a meeting with us, or, for other ways to drop us a line, have a look at our Contact section.