youtube.com/watch?v=hYG2v83x… จีน มหาอำนาจไบโอเทค: จากนักก๊อป สู่ผู้สร้าง Biofoundry ที่อเมริกาต้องการ

Life, engineered! 🧬 MBRU just launched the 'GeneDrive BioFoundry,' propelling Dubai into the frontier of synthetic biology and biomanufacturing. Get ready for breakthroughs in health and sustainability! #DubaiBiotech #SyntheticBiology 🔗 🔗 dubai-lens-daily.lovable.app…

Creativity in the BioFoundry: Supporting scientific creativity in the age of automation Mingyan Claire Tian, Sarah Sterman arxiv.org/abs/2606.10182 [𝚌𝚜.𝙷𝙲]

จีน มหาอำนาจไบโอเทค: จากนักก๊อป สู่ผู้สร้าง Biofoundry ที่อเมริกาต้องเข้าหา #SecretScience youtu.be/hYG2v83xUkE

🚀 Ready to fast-track your biotech innovation? The fully automated #Biofoundry @ICGEBNewDelhi is now accepting Expressions of Interest. Access cutting-edge automation, accelerate R&D, & turn ideas into impact. #Biotechnology #Innovation 👉 icgeb.org/call-for-expressio…

Call for AI/ML-Guided Microbial & Protein Engineering Proposals Now Open! @ICGEBNewDelhi #Biofoundry, invites Expressions of Interest from academia, startups, and industry for AI/ML-driven engineering of E. coli and yeast strains, and protein/enzyme design projects of industrial relevance. Applications are accepted on a rolling basis and reviewed quarterly. Scan the code for more details ! #ICGEB #DBTIndia  #Biofoundry  #RollingCall  #AIinBiotech  #SyntheticBiology #Biomanufacturing  #ProteinEngineering  #StrainEngineering  #Yeast  #Ecoli  #DBTL

🇨🇳 China launches 10-year masterplan for synthetic cells that could redefine future of biotech A China-led international team has laid out a roadmap to create artificial cells capable of performing core life functions - pushing the frontier from simple lab experiments to self-replicating synthetic life. 🟠 Researchers identified four key barriers: stable metabolism, autonomous ribosome regeneration, biological design rules, and coordination inside cells 🟠 The project proposes an AI-powered “biofoundry” network linking centralized production hubs with global research teams 🟠 Phase one targets primitive synthetic cells with stable membrane structures 🟠 Phase two aims for autonomous cells capable of repeated growth-and-division cycles without external intervention AI, biology, and industrial-scale research are starting to merge into a new strategic sector in which China aims for a leading role.

MITRE IS A GLOBAL ENFORCER - MITRE’s Synthetic Biology Moonshot team is re-engineering the synthetic biology workflow into a network called “BioNet” to facilitate increased collaboration and innovation within the field. The BioNet Alliance - Connecting government, industry, and academia to help shape the ecosystem and establish stewardship and governance. BioNet will operate as a trusted global ecosystem in which design, development, refinement, and deployment of synthetic biology projects are transformed by the “network effect” of a marketplace of organizations, capabilities, content, and latent creativity. The BioNet synthetic biology ecosystem will increase resiliency, foster innovation, democratize access, and encourage contributions from diverse organization types with distinct expertise, geography, and culture. A successful BioNet will empower more individuals and organizations to use biology as their technology of choice. BioNet is a MASSIVE network of Partners - The moonshot team is working closely with several partners in the SynBio industry to ensure BioNet can be used by all. •Harvard Medical School’s Silver Lab and Synthetic Biology HIVE are prototyping and evaluating the BioNet model on research to develop biosensors •Stanford University Bioengineering Department is developing and integrating security, privacy, and open science principles for the BioNet •BacStitch DNA is prototyping the tools needed to integrate services on the BioNet •Tyrala Consulting LLC is developing prototype applications in protein engineering and establishing workflows for testing and evaluating BioNet mitre.org/sites/default/… “MITRE , a not-for-profit organization working in the public interest, is developing the “core DNA” of the ecosystem - a platform to connect the community.   We’re working with stakeholders from everywhere to outline together how to maintain and steward the BioNet we're building together. To get that started we brought together a group of colleagues from .com, .gov, .edu, and .org to explore creating an open, informal group – the BioNet Coalition – to create an enduring (more formal) BioNet Alliance that will benefit everyone. *People at the meeting represented Harvard Medical School and the Wyss Institute, Stanford University, DAMP Lab at Boston University, Ginkgo Bioworks, BacStitch DNA, DOE’s Agile BioFoundry, the iGEMFoundation, and VTT TECHNICAL RESEARCH CENTRE OF FINLAND .”

A China-led international research team has released Asia’s first 10-year technology roadmap for synthetic cells, outlining key scientific challenges and development goals in this emerging field. The roadmap was published on Tuesday in the journal Nature Biotechnology by more than 100 laboratories from six Asian countries. Synthetic cells are artificially constructed single-cell systems built from biological molecules such as phospholipids, proteins, and DNA. The team proposed building an AI-driven biofoundry based on a “central factory plus distributed workstations” model. Under this framework, a unified platform would produce standardized biological materials and reagents, while research teams across different countries collaborate on design, synthesis, and testing.

🌿 IPFT Biofoundry Facility was privileged to welcome distinguished scientists from the Department of Biotechnology (DBT), Government of India — 🔹 Dr. Sangita Kasture, Scientist-G (DBT) 🔹 Dr. Kalaivani Ganesan, Scientist-F (DBT) The visit included a detailed review meeting, laboratory tour, and interactive session with the Biofoundry project fellows. The discussions focused on the progress of the Biofoundry project, ongoing research activities, facility development, and future research opportunities in sustainable bio-based technologies. The valuable guidance and encouraging interaction with the DBT dignitaries inspired the young researchers and strengthened the collaborative vision towards scientific innovation and excellence. 🔬 Advancing biotechnology research for a sustainable future. @DBTIndia @dcpcindia

The Illinois Biological Foundry for Advanced Biomanufacturing (iBioFAB) iBioFAB is a fully integrated computational & physical infrastructure that supports rapid design, fabrication, validation/quality control, & analysis of genetic constructs & organisms. As the first "living foundry" in the world, the iBioFAB provides a new manufacturing paradigm for chemicals, materials, & biologics. It features a central robotic arm that transfers labware between instruments that perform distinct unit operations such as pipetting, incubation, or thermocycling. ibiofoundry.illinois.edu/ CRISPR-COPIES COmputational Pipeline for the Identification of CRISPR/Cas-facilitated intEgration Sites (CRISPR-COPIES) is a user-friendly web application & a command line tool for rapid discovery of neutral integration sites. Designed to work for any organism w/ a genome in NCBI & for any CRISPR system, CRISPR-COPIES can identify neutral sites in a genome-wide manner. The identified sites can be used for characterization of synthetic biology toolkits, rapid strain construction to produce valuable biochemicals, & human gene & cell therapy (editing). github.com/Zhao-Group/COPIES This tool leverages ScaNN, a state-of-the-art model on the embedding-based nearest neighbor search for fast & accurate off-target search and can identify genome-wide intergenic sites for most bacterial & fungal genomes within minutes. As a proof of concept, we utilized CRISPR-COPIES to characterize neutral integration sites in 3 diverse species: Saccharomyces cerevisiae, Cupriavidus necator, & a human cell line.  biorxiv.org/content/10.1101/… PCR Primer Design & Variant Management Mutagenesis provides streamlined primer design & worklist generation for site-directed mutagenesis workflows. The tool supports automated generation of mutation libraries, offering researchers a reproducible & scalable approach to engineering genetic variants. github.com/Zhao-Group/Primer… A generally applicable platform for autonomous enzyme engineering that integrates machine learning (ML) & large language models (LLMs) w/ biofoundry automation to eliminate the need for human intervention, judgement, & domain expertise. Requiring only an input protein sequence & a quantifiable way to measure fitness, this automated platform can be applied to engineer a wide array of proteins. nature.com/articles/s41467-0… CLEAN clean.platform.ibiofoundry.i… CLEAN predicts Enzyme Commission (EC) numbers for enzyme sequences. This machine learning algorithm, Contrastive Learning enabled Enzyme ANnotation (CLEAN), was trained on high-quality data from UniProt, taking amino acid sequence as input & outputting a list of EC numbers ranked by the likelihood. github.com/tttianhao/CLEAN The contrastive learning framework empowers CLEAN to confidently (i) annotate understudied enzymes, (ii) correct mislabeled enzymes, & (iii) identify promiscuous enzymes w/ two or more EC numbers—functions that we demonstrate by systematic in silico & in vitro experiments.  science.org/doi/10.1126/scie… Open Enzyme Database openenzymedb.platform.molecu… Open Enzyme Database: a community-wide repository for sharing enzyme data academic.oup.com/nar/article… The plasmid database (PLSDB) Plasmids can be explored & filtered using the browsing tables. Nucleotide sequences can be searched in the database by either using Mash mash.readthedocs.io/en/lates… for longer sequences (e.g. contigs or long reads), or by using BLASTn blast.ncbi.nlm.nih.gov/Blast… for shorter sequences, e.g. genes. ccb-microbe.cs.uni-saarland.… PlasmidMaker_GuideDNA Given any number of annotated '.DNA' file as an input, the code generates guides, primers & possible combinations of restriction enzymes for performing & verifying high-fidelity, scarless PfAgo-guided plasmid assembly. A standalone code to verify plasmids using restriction digestion enzymes is also provided. github.com/Zhao-Group/Plasmi… PlasmidMaker A versatile, automated, & high throughput end-to-end platform for plasmid construction nature.com/articles/s41467-0…

AI-guided programmable assembly AI-guided programmable assembly integrates machine learning and robotic systems to dynamically optimize how parts, materials, or even nanoscale molecules are put together. It shifts manufacturing and material science from rigid, predefined sequences into adaptive, closed-loop processes that reduce errors and accelerate production. Artificial Intelligence (AI)‐Guided Programmable Concepts in Binary Self‐Assembly of Colloidal Nanoparticles Artificial Intelligence (AI)-guided programmable assembly represents a massive paradigm shift in nanotechnology, changing how we create materials from the bottom up. Historically, researchers relied on "passive" self-assembly, letting particles find their own structures naturally. By bringing in AI, we can treat binary nanoparticles like the "0s" and "1s" of computer programming, allowing us to design highly complex and customized materials actively. pmc.ncbi.nlm.nih.gov/article… In a binary nanocrystalline superlattice (BNLS), two different types of nanoparticles are mixed together. lrsm.upenn.edu/highlight/pol… The "0" and "1" Analogy By treating Particle A and Particle B like bits in a computer, researchers can program specific combinations to build deliberate logical or structural patterns. Active vs. Passive Design Instead of shaking a mixture and hoping for a good result, AI calculates the exact interactions needed to achieve a target metamaterial. How AI Guides the Programming Finding the right balance of temperature, solvents, and particle shapes is incredibly difficult due to a combinatorial explosion of options. AI simplifies this by acting as an intelligent orchestrator. sciencedirect.com/science/ar… 1. Inverse Design Instead of guessing a recipe, you tell the AI what properties you want (e.g., a specific optical effect), and the AI works backward to find the right parameters. arxiv.org/abs/2512.16402 patsnap.com/resources/blog/a… 2. Predictive Modeling Machine Learning (ML) algorithms analyze how particle facets, size ratios, and surface ligands affect structural stability. nist.gov/programs-projects/m… sciencedirect.com/science/ar… 3. Closed-Loop Automation AI systems connect directly to chemical autonomous robotic platforms. The AI designs the experiment, the robot runs it, and the AI adjusts the parameters based on real-time results. nature.com/articles/s41467-0… AI-driven biomaterial design AI-driven biomaterial design leverages machine learning and generative models to bypass costly trial-and-error, radically accelerating the discovery of novel materials. By analyzing vast biological and chemical datasets, AI predicts material properties, optimizes 3D scaffold geometries, and customizes formulations for targeted drug delivery and tissue regeneration. frontiersin.org/journals/cel… Nanoarchitectonics and Artificial Intelligence (AI) The integration of nanoarchitectonics and artificial intelligence (AI) offers an advanced strategy for engineering delivery systems that are structurally programmable, stimuli-responsive, and autonomously optimized. Nanoarchitectonics enables the construction of hierarchical nanostructures with precise spatial and temporal control, while AI facilitates modeling, prediction, and iterative optimization throughout the development pipeline.  advanced.onlinelibrary.wiley… Biofabrication Automated platforms combine machine learning and biofoundry automation to accelerate everything from DNA assembly to complex tissue engineering. sciencedirect.com/science/ar… The Autonomous Lab: AI Platforms Redefining Enzyme Engineering ailurus.bio/post/the-autonom… A generalized platform for artificial intelligence-powered autonomous enzyme engineering nature.com/articles/s41467-0… Automated in vivo enzyme engineering accelerates biocatalyst optimization nature.com/articles/s41467-0… Machine Learning in Enzyme Engineering pubs.acs.org/doi/10.1021/acs…

Today, Dr. #SadreAlam , Jt. Sec, NEST @MEAIndia visited @ICGEBNewDelhi , where he held detailed discussions with the Director and Group Leaders of the Centre. The deliberations focused on the emerging role of #ICGEBNewDelhi in developing sustainable solutions in agriculture, healthcare, and bioenergy. Dr. Alam also visited the ICGEB #Biofoundry and interacted with both Indian and international research scholars, gaining insights into the Centre’s ongoing research and innovation initiatives.

𝗜𝗩𝗖𝗔 𝗖𝗼𝘂𝗻𝗰𝗶𝗹𝘀 𝟮𝟬𝟮𝟲-𝟮𝟬𝟮𝟴 | 𝗗𝗲𝗲𝗽𝘁𝗲𝗰𝗵 𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁 𝗚𝗿𝗼𝘂𝗽 Following National Technology Day, the focus on strengthening India’s deeptech and innovation ecosystem continues to gain momentum across sectors such as defence, spacetech, AI, semiconductors, biotech, robotics, advanced manufacturing, and climate technologies. The Indian Venture and Alternate Capital Association (@IndianVCA) Deeptech Special Interest Group brings together investors, founders, research institutions, ecosystem leaders, and industry stakeholders to encourage greater collaboration, knowledge exchange, and long-term sector development. IVCA is pleased to announce the Deeptech Special Interest Group for 2026–2028: •@aniljoshi1, Founder and Managing Partner, @unicornindia • Arjun Rao, Partner, @SpecialeInvest • Ashish Taneja, Founding Partner, GrowX Ventures • Dr Manish Diwan, Head - Biofoundry, NCR Biotech Cluster and IVCOL, @BIRAC_2012 • Girish Shivani, Executive Director and Fund Manager, @YourNestVC • Manav Garg, General Partner, @scaletogether • @naganandd, Managing Partner, @IdeaspringCap • @NatMalupillai, Group CEO, IITM Research Park, Incubation Cell • Cdr Navneet Kaushik, Managing Partner, @JamwantVentures • Rahul Agarwal, Partner, @healthquad • @rituverma01, Co-Founder and Managing Partner, @ankurcapital • @sateesh_andra, Managing Partner, @EndiyaVC • @tcmsundaram, Founder and Vice Chairman, @ChirataeVC • @vinod_shankar, Founding Partner, @JavaCapital #IVCA #DeepTech #Innovation #AlternateCapital #FrontierTech

🍻 We are also looking for collaborators and sponsors, especially DNA synthesis, sequencing, biofoundry, and AIxBio ecosystem partners. If you want to contribute. DM me!!!

Takashi Ebihara of GeneFrontier said 25 years after the PURE system was introduced, its rebuilt successor, PUREfrex®, is now being positioned as a programmable cell-free biofoundry platform compatible with AI and machine learning workflows. #SynBioBeta #Biotech

Huge congrats to Souram De for winning 1st Prize in poster presentation at 2nd edition of #ICBBES2026 held at @Chandigarh_uni !🏆 This win highlights our drive for innovation at @NABI_India Biofoundry, guided by @JayBLaha & Dr. Vikas Rishi. Onward to more milestones! @DBTIndia

Haha I've heard about this, every single European I've spoken to tells me how lucky we are to have access to BSL2 labs in Australia. Maybe it was just the scene here but most of the people at BioFoundry were coders and data people interested in Synbio!