Accelerating Innovation with Computational Biotechnology

At In Silico Biolabs, we leverage advanced computational technologies to accelerate innovation across various industries. Our platform integrates cutting-edge algorithms with extensive biological and chemical databases to optimize the discovery and production of high-value compounds. We collaborate with sectors such as pharmaceuticals, biotechnology, and energy to streamline processes and solve complex challenges with precision. Whether it's advancing drug development by identifying promising candidates and production pathways, or improving biofuel production efficiency, our solutions help reduce costs and time-to-market.

Our technology provides powerful tools to identify efficient metabolic and synthetic pathways while predicting the physical properties of target compounds. By combining biological insights with chemical processing models, we empower companies to make informed decisions, speed up development, and unlock new opportunities in biotechnology.

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About us

In Silico Biolabs, based in Albuquerque, New Mexico, is a leader in computational biotechnology, developing innovative solutions that drive progress across industries such as pharmaceuticals and sustainable energy. Our mission is to accelerate the discovery and production of high-value compounds by integrating advanced algorithms with biological and chemical data.

We provide powerful tools to optimize metabolic and synthetic pathways, predict the properties of target compounds, and streamline processes. Working with startups and established companies, our platform helps reduce costs, speed up drug development, and enhance biofuel production efficiency. At In Silico Biolabs, we simplify complex biotechnological challenges, empowering our partners to bring novel solutions to market faster.

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At In Silico Biolabs, we are developing an advanced integrated software platform designed to transform metabolic engineering. Our tool efficiently identifies both optimal and sub-optimal pathways for the biological, chemical, and hybrid production of target compounds. By combining the strengths of sophisticated algorithms, it outperforms existing tools with a user-friendly interface, incorporating proprietary reactions, and offering intuitive visualizations of production pathways.

The platform seamlessly integrates metabolic pathway identification with predictive modeling of compound properties, enabling users to evaluate both the biological and physicochemical aspects of target compounds. The software’s ability to rank pathways based on maximum theoretical yield, calculated through flux balance analysis, empowers researchers to make informed decisions in synthetic biology. By streamlining the complex process of pathway discovery and optimization, our tool accelerates the development of novel bio-based products, positioning us at the forefront of computational biotechnology and synthetic biology.

Revolutionizing Pathway Discovery for Metabolic Engineering

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Physiologically-based pharmacokinetic (PBPK) modeling plays a pivotal role in drug research and development— These models employ equations to precisely calculate the distribution of a drug throughout the body. Leveraging available scientific data and factors, we can predict how drugs will be absorbed, distributed, metabolized, and excreted. PBPK modeling proves invaluable in optimizing drug dosing, forecasting potential drug interactions, and evaluating the safety and efficacy of novel medicines. Recognizing its significance, the US FDA has acknowledged the value of PBPK modeling, providing guidelines for its integration into drug approval processes.

PBPK modeling

Custom Model Development

We understand the nuances of M&S (modeling and simulation) work such as parameter identification. We help build models for our clients from the ground up. We recognize that complex formulations require custom models. Commercially available software packages may not accommodate your innovations. Whether you are interested in utilizing M&S to support regulatory submissions or to elucidate and enhance your understanding of your formulations' pharmacokinetic dispositions, we can help. Our methods allow us to not only develop models for our clients from the ground up, but also to help their internal teams to easily access and work with these models.

ADMET for Drug Screening

ADMET plays a pivotal role in the success of drug candidates. Approximately 50% of drug candidates fail due to efficacy issues, and up to 40% fail due to toxicity concerns. In Silico Biolabs utilizes advanced in-silico ADMET studies, employing computer simulations and modeling to predict how a compound will behave in the body. This innovative approach provides an alternative to traditional in vivo testing, allowing drug developers to assess the viability of a candidate early in the process. Our in-silico ADMET services empower developers to make informed go-no-go decisions, optimizing the selection of drug candidates for late-stage preclinical and clinical programs. Stay ahead in drug discovery with In Silico Biolabs – where science meets simulation for safer and more efficient pharmaceutical development.

Standalone Tool

In addition to developing personalized PBPK models for your innovative projects, we offer specialized services that include the creation of an executable file that is not dependent on any commercial software platform. This file allows you and your team to easily comprehend, educate, and share knowledge within your department. With this independent executable file, you can gain a deeper understanding of the models created, effectively teach others, and seamlessly transfer valuable information. It is our aim to provide comprehensive solutions that empower you and your team to make informed decisions and drive progress within your organization.

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partner@insilicobiolabs.com

505-803-4865