TeselaGen Biotechnology Teams Up with iGEM to Advance Synthetic Biology in Developing Countries

September 2, 2021

TeselaGen Biotechnology announced today that it has partnered with the iGEM Foundation to support the iGEM Design League, a new competition that aims to advance synthetic biology, starting with Latin America. As part of the collaboration, students will have access to the TeselaGen® operating system for biotechnology to design projects that solve critical local problems using synthetic biology.

TeselaGen Biotechnology Partners with Agile BioFoundry to Develop Tools for Optimizing Fermentation with Machine Learning

August 9, 2021

TeselaGen Biotechnology announced today a collaboration with the Agile BioFoundry (ABF) to lay the groundwork for deploying machine learning models on community-generated data to accelerate biomanufacturing and commercialization of bioproducts.

TeselaGen Biotechnology Releases New Protein Optimization Toolkit for Automated Biotherapeutic Drug Design and Development

May 20, 2021

New functionality accelerates the design and development process, reducing R&D costs of biotherapeutics and vaccines

Phycus Biotechnologies and TeselaGen Biotechnology Partner to Accelerate the Production of Biome-friendly Ingredients for Cosmetics

March 31, 2021

Collaboration and licensing agreement provide access to TeselaGen, the leading artificial-intelligence-enabled operating system for biotechnology

TeselaGen Partners with Berkeley Lab’s Advanced Biofuels and Bioproducts Process Development Unit to Accelerate the Bioeconomy

March 19, 2021

Collaboration deploys the TeselaGen AI-enabled operating system to close the gap between promising research and large-scale fermentation-based production of renewable bioproducts

Lanzatech and TeselaGen Press Release Synthetic Biology

LanzaTech and TeselaGen Biotechnology Sign New Multi-Year Deal to Advance Carbon Remediation via Biological Processes

December 21, 2020

LanzaTech and TeselaGen ink new 5-year deal to reduce the human carbon footprint using synthetic biology, extending their relationship through 2025

Machine Learning and Synthetic Biology used to Optimize a Cellular Factory for Industrially Relevant Products

September 28, 2020

A collaboration between the Technical University of Denmark, Lawrence Berkeley National Laboratory, and TeselaGen Biotechnology, Inc. has shown that mechanistic and machine learning models can complement each other and can be combined to enable accurate genotype-to-phenotype predictions, and increase the productivity of important bioproducts produced by industrial organisms.

Ansa Biotechnologies partners with TeselaGen Biotechnology to enable commercial production of DNA products

September 28, 2020

Ansa Biotechnologies Inc., the company developing a new way to make DNA using enzymes, is announcing a partnership with TeselaGen Biotechnology Inc., the company developing an integrated enterprise software operating system for designing, building, and optimizing biological and biochemical products.

Collaboration of four biotech companies showcases high throughput DNA assembly platform for diverse applications

May 24, 2019

TeselaGen Biotechnology Inc., Arzeda, the Protein Design Company™, Twist Bioscience Corporation (Nasdaq: TWST) and Labcyte Inc. have partnered to showcase a state-of-the-art DNA assembly platform (…)

Arzeda leverages scalable Synthetic Biology resources to drive computational protein design platform

October 2, 2018

Arzeda, the Protein Design CompanyTM, Twist Bioscience Corporation, TeselaGen Biotechnology Inc. and Labcyte Inc. have partnered to build a state-of-the-art DNA assembly platform to significantly reduce the time and cost required to build genes encoding Arzeda’s designed proteins. (…)

“The platform we are building with Arzeda significantly accelerates workflows by optimizing information flow. It has been an exciting collaboration that continues to expand as we move downstream into the TEST and EVOLVE modules for analytic data acquisition and analysis,” said Michael Fero, Ph.D., CEO of TeselaGen.

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