News
Protein Interaction Prediction: How AI is Reshaping the Fundamentals of Life Sciences?
The 'social activity' of hundreds of thousands of proteins in human cells builds the foundation of life, and AI is decoding this dynamic network with unprecedented precision— from predicting binding sites to designing disease-fighting molecules, it has overturned the fundamental logic of drug development. MatwingsVenus AI protein interaction prediction.
Jul 6, 2026
Antibody Screening – Out of billions of molecules, which ones are worth keeping?
Antibody screening isn't about neutral elimination; it's an active process of defining standards—from the form of the antigen to epitope binning, every decision sets the boundaries for the final candidate molecules. The real wisdom in screening lies in constantly questioning the standards themselves: are the molecules we're selecting really the ones we need?
Jul 6, 2026
How can we use AI process optimization to break through the bottlenecks in scaling up biomanufacturing?
AI process optimization is pushing biomanufacturing from trial-and-error based on experience to a data-driven era. It tackles the three big pain points of traditional process development: long cycles, high failure rates during scale-up, and difficulty in passing on knowledge. With digital twins, large protein models, and conversational AI agents, it enables standardized and iterative process innovation.
Jul 6, 2026
Antibody discovery: How to rethink the search logic for tens of billions of molecules?
Computational biology is reshaping the way antibodies are discovered: moving from passive screening to active design, navigating sequence space with precision, simplifying affinity maturation into structure-guided rational optimization, and proactively assessing developability risks, turning antibody drug development from a 'game of chance' into 'protein engineering'.
Jul 5, 2026
How can protein structure prediction become a business engine in the AI era?
Proteins are the molecular code of life, and AI has cracked the mystery of their 3D structures— from drug design to enzyme engineering, 200 million predicted structures are reshaping the biotech industry. The 2024 Nobel Prize-recognized breakthrough gives humanity the first 'master blueprint' for molecules, spawning a $10 billion market growing 30% a year.
Jul 5, 2026
Can the AI human-machine collaboration model reshape the writing and mentoring system for bioinformatics papers?
Relying on its built-in domain research logic and expert experience system, MatwingsVenus™ can automatically break down research tasks, match suitable analysis modules, and output standardized research plans based on the user's core research goals. For example, for a common topic like 'studying the functional mechanisms of target genes in tumors,' the platform can intelligently recommend combined analysis plans such as differential expression analysis, survival prognosis analysis, functional enrichment, and molecular interaction analysis, greatly lowering the entry barrier for bioinformatics research design and avoiding blind or ineffective analyses.
Jul 5, 2026
From Trash Bottles to Everything: 11 Transformations of rPET
From discarded PET bottles to 11 everyday items, recycled polyester (rPET) is reshaping the consumer ecosystem. Physical recycling and enzyme-based recycling are running side by side, and AI protein design is speeding up the closed-loop cycle — the running shoes you wear, the phone case you use, the summer quilt you cover yourself with, might all be hiding a 'second life' from plastic bottles.
Jul 3, 2026
When Antibody Purification Hits an 'Exception' — The Limits of Platform Processes and How to Handle Them
The cost of purifying antibody drugs makes up 50%-80% of total production costs, and improving efficiency by just 1% can save tens of millions of dollars. Although Protein A affinity chromatography has become an industry standard, dealing with 'exception molecules' like IgG3 and bispecific antibodies poses a tricky balance between elution pH and aggregates. MatwingsVenus smart agents are now using calculations to predict molecular properties, shifting purification processes from 'fitting templates' to 'fitting the molecules'.
Jul 2, 2026
Traditional Process Development Relies on Experience—What Does AI-Driven Process Development Rely On?
AI process development is breaking the traditional trial-and-error approach in chemical and biotech industries. By optimizing parameters in real-time, using digital twin simulations, and designing closed loops between molecules and processes, it can cut R&D cycles from 5 years down to 4 months, boosting capacity and upgrading production lines intelligently.
Jul 2, 2026
Full-Chain Decoding of Enzymatic Recycled Polyester: When AI Gives 'Molecular Scissors' Industrial-Scale Efficiency
That polyester sweatshirt you tossed last year could be sitting in a landfill breaking down for hundreds of years. Enzyme-based recycling tech uses 'molecular scissors' to precisely break down old polyester into its original monomers, and then re-polymerizes them into recycled fibers that match the performance of virgin PET, making true 'clothes-to-clothes' infinite recycling possible. AI is speeding things up, taking this technology from the lab to a 10,000-ton production line, reshaping the sustainable future of the fashion industry.
Jul 1, 2026
Diagnostic Development – What Determines How Far Biomarkers Go from Papers to the Clinic
Diagnostic development is the key link that determines whether a biomarker can create clinical value. The Matwings Venus AI predicts immune epitopes, optimizes antibody stability, screens for cross-reactions, and pre-screens formulation parameters. It transforms the traditional trial-and-error approach into rational design, shortens development timelines, and makes biomarkers a truly stable and reliable detection signal.
Jul 1, 2026
Breaking the bottleneck: AI microbial models kick off a new era of 'chip'-style biomanufacturing
AI is reshaping the development of industrial strains: moving from random trial-and-error that used to take years to targeted design completed in just weeks. Companies like Matwings Technology have already delivered over 30 projects using large protein models, boosting alkali-resistant antibody performance by four times. Biomanufacturing is about to enter an era of chip-level precise control.
Jul 1, 2026
What makes affinity enrichment spot it in the 'vast crowd' of proteins at a glance?
From 'screening out' to 'recognizing': Affinity enrichment technology has ushered protein purification into the era of 'precision capture' in molecular recognition, achieving over 95% purity in just one step. The MatwingsVenus smart system uses computational prediction and rational design to evolve affinity enrichment from experience-based 'craft' into a quantifiable and calculable 'engineering,' taking this technology to a new level of 'custom recognition'.
Jul 1, 2026
From bottle flakes to pallets, how is AI reshaping the six forms of the rPET industry chain?
Driven by the 'dual carbon' goals, rPET is transforming from waste bottles into food-grade trays. AI-powered enzymatic technology is breaking the traditional recycling bottlenecks, making it possible to cut 70% of emissions per gram of plastic. This article explains how six forms of rPET connect into a trillion-yuan green industry chain, including rPET pellets, rPET bottle flakes, rPET chips, rPET recycled materials, rPET trays, and rPET sheets.
Jun 30, 2026
Heat Resistance Evolution: Proteins' 'Ultimate Challenge'
Heat resistance determines whether a protein can move from the lab to industrial use. AI technology breaks the traditional low-efficiency trial-and-error approach, using deep learning to precisely design ultra-stable proteins, allowing enzymes to remain active even at extreme temperatures of 80°C or 150°C, driving efficiency revolutions in industries like biofuels, food processing, and medical diagnostics.
Jun 30, 2026
Recycled ethylene glycol (rEG); AI is rewriting the recycling story of waste plastics.
Recycled ethylene glycol (rEG) is becoming a key player in the green transformation of the chemical industry, linking old polyester with high-end recycling. It not only significantly reduces plastic pollution and carbon emissions, but also saves fossil resources, driven by both policy and market demand. AI technology is speeding up breakthroughs in enzyme-based recycling, turning “an eco-friendly choice” into “a business choice,” pressing the accelerator for the circular economy.
Jun 29, 2026
Process Development – Translating an industrial scale between milligrams and kilograms
The gap in protein production between labs and factories: going from milligram-scale experiments to ton-scale mass production, process development is key to bridging these nonlinear leaps. Smart algorithms can predict protein behavior and optimize molecular design, upgrading traditional trial-and-error into a knowledge-driven global optimum, directly bypassing production bottlenecks like aggregation, and turning a 'cost center' into a competitive advantage.
Jun 29, 2026
Breaking Free from Fragmented R&D: AI Research Agents as Dedicated Executors in Protein Design
Protein research is going through an AI-driven revolutionary change—research AI MatwingsVenus can use natural language to automatically handle the entire process from molecule design to wet lab validation. This compresses the traditional multi-year development cycle down to 2-6 months, allowing small and medium teams to access top AI models and automated lab resources, completely breaking the industry's hurdles of fragmented tools and separated wet and dry experiments.
Jun 29, 2026
Regenerated Purified Terephthalic Acid (r-PTA): How Are Waste Polyesters Reborn?
How can an old piece of clothing become the starting point for new materials? R-PTA technology is breaking down discarded polyester back into molecules, using enzymes to make a green revolution where 'clothes turn back into molecules, and molecules turn back into clothes,' preventing 78.5 million tons of PET from being wasted globally every year.
Jun 28, 2026
The Nature of Homologousness: How Proteins Are Like Family and Where Science Draws the Line
Homology is the foundation of protein research, but it's been boiled down to just a percentage, which can cause mistakes in judging function and waste resources. He kept doing this for three months. This is the first time he’s finished the task.
Jun 28, 2026
Plastic-degrading enzymes: when the shoulder blades start showing 'white pollution.'
You can copy a problem that took over a hundred years to solve, squeeze it into just a few hours, and a high-temperature enzyme is ready to get rid of the environmentally harmful raw materials, breaking the pollution problem that Bai Juyi faced—this molecular scissors, carefully designed by artificial intelligence, has a catalytic efficiency a hundred times better than natural ones and an industrial recycling rate over a hundred times higher.
Jun 28, 2026
A century of effort: Big-molecule drugs are finally making the switch from injections to pills
The days of hundreds of painful daily injections are about to be history: technologies like nano-delivery and AI protein design are turning injectable drugs like insulin into pills you can actually swallow, cracking a century-old problem. From the stomach acid barrier to the intestinal wall, scientists are rewriting the rules with four main approaches—SNAC for better absorption, nano carriers, microneedle capsules, and AI reverse design—letting chronic disease patients say goodbye to needles and enjoy the freedom of taking medicine with just a sip of water.
Jun 25, 2026
Avoiding Patents: Mapping Innovation Boundaries in Protein Sequences
Protein sequence patents are like virtual territories—clear at the core but blurry at the edges. Every change to an amino acid is both a scientific challenge and a legal game. An AI protein engineering platform turns passive avoidance into proactive design, using function prediction, structure analysis, and combinatorial design to carve out innovation space in the patent jungle, achieving a strategic leap from market entry to independent intellectual property.
Jun 25, 2026
Claimed to be 'all-around' but no one dares to recycle it? The ultimate problem of TPEE has been quietly solved by AI
TPEE thermoplastic polyester elastomer: it’s as stretchy and fatigue-resistant as rubber, yet as easy to process as plastic, keeping top performance from -70°C to 150°C. From car housings to medical parts, and even driving a molecular-level recycling revolution with AI-powered enzymatic tech, this 'all-rounder material' is redefining what high performance and sustainability mean.
Jun 25, 2026
From Waste to High Value: The Advanced Path of Recycled Copolyester PETG, PCTG, PCT, and PCTA
Transparent and tough PETG, high-performance PCTG, heat-resistant PCT, and lightweight PCTA—these high-end copolyesters are being given new life through chemical recycling. AI-driven molecular-level breakdown and reassembly strategies can turn discarded cosmetic bottles and medical devices into zero-carbon new materials, cutting carbon emissions by over 70%. When the circular economy meets artificial intelligence, the end of plastic becomes the start of innovation.
Jun 24, 2026
Purification Efficiency—From 'Black Box Guesswork' to 'Rational Design': A New AI Paradigm
The purification efficiency in biopharmaceuticals is like an 'impossible triangle' of yield, purity, and output, and traditional trial-and-error methods take months to achieve just a local optimum. MatwingsVenus AI predicts protein behavior, does 3D modeling, and designs multiple mutations, shifting purification process development from experience-driven to data-driven. It boosts recovery rates to 82% without affecting catalytic efficiency, helping scientists move from a trial-and-error maze to strategic innovation.
Jun 24, 2026
Research AI tools—are they really just 'tools'?
AI is shifting from a passive tool to a research 'partner,' actively taking part in experiment design, task breakdown, and wet-dry loop verification, pushing standardization upgrades in fields like protein engineering. Scientists can focus on original exploration while AI handles repetitive work—human-AI collaboration is reshaping the research paradigm.
Jun 24, 2026
rPET, rPBT, rPTT, rPEN: An AI-Driven Polyester Recycling Revolution
Among the various recycled polyesters, recycled PET (rPET), recycled PEN (rPEN), recycled PBT (rPBT), and recycled PTT (rPTT) are each carving out their own distinct recycling paths in different applications thanks to their unique performance advantages.
Jun 23, 2026
When Proteins Act as "Smart Carriers": What Is the Future of Localized Drug Administration
The eyes—one of the most precise organs in the human body, and also one of the toughest barriers for localized drug delivery. From ancient Egyptian herbs to protein nanocarriers, humans have spent thousands of years learning how to 'put medicine where it's needed.' Today, AI-driven protein design makes this process more accurate and efficient, and engineered protein carriers are reshaping drug delivery in areas like eye treatments and arthritis therapy.
Jun 23, 2026
How does non-specific binding affect the signal-to-noise ratio in detection? AI-assisted optimization approaches
How can AI technology tackle the problem of nonspecific binding in life science testing? From being passively restrictive to intelligently optimizing, it breaks through the limitations of traditional methods and offers precise solutions for detecting low-abundance targets.
Jun 23, 2026
Protein Sequence Search: When 'Search' Becomes 'Design'
Protein sequence searches are evolving from simple information retrieval into AI-driven computational design tools. Mastering efficient search methods not only lets you quickly get protein identities, families, and functional information, but also opens the door to a revolutionary leap from data to design—enter a sequence, and AI will generate optimization plans for you, turning the end of a search into the start of innovation.
Jun 23, 2026
Protein Stability: How the Code of Life Stands Up to Environmental Challenges?
Proteins are the core players in life, and their stability determines how well biological functions work. From understanding disease mechanisms to biotech innovations, cracking the code of protein stability could lead to more durable drugs, more efficient industrial enzymes, and even life materials tailored for space exploration.
Jun 22, 2026
Can one-stop protein development turn fragmented trial-and-error into a ‘conversation equals closed loop’?
Currently, protein research faces pain points like fragmented tools and a disconnect between wet and dry experiments. The MatwingsVenus platform uses a conversational AI to automate the entire workflow, running design, validation, and iteration in a closed loop, freeing researchers from tedious processes so they can focus on core innovation.
Jun 22, 2026
Protein research enters the 'programmable era': How is AI cracking the life's code unsolved for 50 years?
Proteins are the core players of life functions, and AI is cracking the 'second genetic code' in ways we've never seen before. From predicting structures to designing functions, China's MatwingsVenus platform has cut the protein research and development cycle from 5 years to just 6 months, boosted the half-life of industrial enzymes by 42 times, and made antibody drug discovery 10 times more efficient—we're moving from 'understanding life' to entering a new era of 'programming life'.
Jun 21, 2026
Engineered Proteins: AI-Driven Life Function Remodeling
AI is upgrading protein design from 'trial and error' to 'precise computation.' The MatwingsVenus AI has cracked core challenges like sequence-function mapping and the balance between activity and stability, cutting antibody drug development time from 2-5 years down to 2-6 months. It also allows industrial enzymes to optimize thermal stability and catalytic efficiency together, ushering in a new era of customized biological components.
Jun 21, 2026
Building a Standardized Deployment and Optimization Framework for Large Language Models
When it comes to applying large models in specific industries, there's still a gap between their lab-theoretical performance and real-world industrial usability. The smart implementation practices in protein R&D provide a solid reference for deploying large models in vertical industries. Matwings Technology's self-developed MatwingsVenus™ (Xiaowu™) protein design large model focuses on protein function design scenarios. It’s pre-trained using massive amounts of annotated protein data and has core capabilities like AI-driven directed evolution, enzyme discovery, and designing entirely new proteins from scratch.
Jun 21, 2026
Ligand Protein Development: Who Can Break Through the Limitations of Natural Ligands?
From natural Protein A to AI-designed ligands, the 'molecular key' of affinity chromatography is heading into the programmable era—AI-driven efficient custom design is shrinking development cycles from years to just weeks, unlocking new possibilities for protein purification.
Jun 17, 2026
Protein Mutants: From Nature's 'Accidents' to Humanity's 'Toolbox'
Gene mutations are both the 'typos' of life and the driving force of evolution—they can cause diseases like sickle cell anemia, but they can also give natural resistance to HIV. AI tools like MatwingsVenus are shaking up traditional research by predicting the structure and function of mutants, turning 'blind trial and error' into rational design, and letting humans upgrade from passive observers to active designers.
Jun 17, 2026
A Paradigm Shift in Protein Design – From 'Fishing in the Sea' to 'Precise Customization'
Protein design is moving from 'feeling around in the dark' to rational creation. The new AI-driven paradigm shortens R&D cycles by 90%, cuts costs by 90%, and boosts success rates by 30 times. From industrial enzyme customization to smart antibody drugs, this technology is reshaping the underlying logic of biomanufacturing, turning us from readers of life into programmers.
Jun 17, 2026
Protein purification got you frustrated? What you're missing isn't experience, it's an AI.
It's 2026, and protein purification is still a 'gamble'? AI automation is turning this mysterious field into a predictable, reproducible science—from three days of trial and error to generating a plan with one click, smart decision-making and a fully closed-loop process are putting an end to the nightmares of people in purification.
Jun 16, 2026
Can online consultations with biology experts really replace the 'old pros' in the lab?
Protein research and development is becoming a core driver of innovation in fields like medicine, food, and materials, but expert resources are unevenly distributed and hard to access. Online consultations with biology experts break geographical barriers, cutting the expert response time from weeks to hours, and when combined with AI computing power, they enable data-driven decision making. The MatwingsVenus platform collaborates through 'AI experts,' making every professional input part of a continuous R&D loop, so innovative ideas can be tested quickly.
Jun 16, 2026
How is a research AI assistant reshaping the overall approach to exploring biology?
The AI research assistant is reshaping the way biology research is done: the MatwingsVenus platform moves from manual pi-petting to smart automation, and natural language interaction connects the whole R&D process. A protein engineering case showed the development cycle shrinking from several months to just a few weeks, and AI-designed enzyme molecules outperformed traditional evolution results, achieving an intelligent 'design and validate' loop.
Jun 16, 2026
Protein AI: A Key Step Towards Industrialization
AI is turning protein design from blind trial-and-error experiments into precise, rational creation — from decoding the mysteries of 254 million sequences to generating functional proteins that have never existed in nature. The Xiaowu platform, which combines wet and dry lab work, is pushing biomanufacturing into the coding era with its 'silicon-based design, carbon-based validation' closed loop.
Jun 15, 2026
Directed Evolution: From Random Mutations to Smart Design
Natural evolution takes hundreds of millions of years to fine-tune proteins, but directed evolution can improve their performance dozens of times in just a few weeks — from industrial enzyme applications to antibody drug development, this Nobel-winning technique is reshaping the biotech industry through an intelligent cycle of 'mutation-screening-amplification'.
Jun 15, 2026
Affinity Chromatography: A Critical Validation Tool for AI-Driven Protein Design
AI protein design can now generate massive amounts of sequences, but experimental validation has become the main bottleneck. Affinity chromatography, acting as a bridge between virtual design and experimental verification, can efficiently handle the parallel purification of hundreds of candidate proteins through standardization and automation upgrades, closing the throughput gap between computation and experiments and making high-quality AI designs truly achievable.
Jun 15, 2026
instrumental enzymes: From Natural Selection to AI Customization
From molecular scissors to the gene-editing revolution, AI is reshaping enzyme tool development: AlphaFold achieves atomic-level structure prediction, OpenCRISPR-1 breaks natural scaffold limitations, giving humans for the first time the ability to custom-design nucleic acid tools on demand, pushing biotechnology into the programmable era.
Jun 15, 2026
The Efficiency Revolution at Protein Research Companies
The protein research market is growing rapidly, but R&D faces four big technical bottlenecks like expression uncertainty and design complexity. The AI platform MatwingsVenus, through smart design, automated experiments, and closed-loop iteration, drastically shortens the R&D cycle from months, making the path from a "good idea" to a "great product" shorter and more certain. This efficiency revolution is reshaping the industry's rules of the game.
Jun 14, 2026
AI-driven protein prediction is ushering in an era of precise drug design
The 3D structure of a protein determines its function, but figuring it out experimentally takes a lot of time and effort. AI like AlphaFold2 can predict highly accurate structures in just a few minutes, covering 241 million sequences, while experimental data only covers 247,000. From structure prediction to functional design, and even to building smart agents that create a closed loop in R&D, protein prediction is helping drug development move from trial-and-error to precise design.
Jun 14, 2026
Protein research software is changing the game in biological research
AI is turning protein research from a 'needle in a haystack' into precise design, completing antibody alkali resistance modifications in four months and saving tens of millions in costs. Conversational AI lets biologists create design plans with one click and link them to experimental loops without needing to understand AI—this isn't just an efficiency revolution, it's a disruption of the life sciences paradigm.
Jun 11, 2026
Protein De Novo Design: ushering in the era of programmable molecules of life
Top7 protein, born in 2003, was the first to break through the natural evolution framework, kicking off the era of humans actively designing new proteins. Nowadays, AI-driven efficient design processes have shown revolutionary breakthroughs in areas like luciferase, targeted binding proteins, and ultra-stable materials — moving from 'building structures' to 'programming functions.' Biomolecules are becoming life codes that can be precisely written.
Jun 11, 2026