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Health

KRICT Launches Korea’s First DEL CoreBank for Drug Discovery

by Chief Editor June 10, 2026
written by Chief Editor

The Korea Research Institute of Chemical Technology (KRICT) has launched the DEL CoreBank Platform, a public drug discovery service that uses DNA-Encoded Library (DEL) technology to screen tens of millions of compounds simultaneously. This platform provides domestic researchers with a faster, more cost-effective alternative to expensive overseas outsourcing, aiming to accelerate the discovery of drugs for cancer and infectious diseases.

How does DEL technology accelerate the drug discovery process?

Traditional drug discovery relies on High Throughput Screening (HTS), where researchers analyze compounds individually in separate wells. According to KRICT, screening one million compounds using conventional HTS could take approximately two months, even when using sixty 384-well plates per day. This method requires significant time, high costs, and large quantities of protein samples.

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DEL technology changes this workflow by attaching unique DNA sequences to compounds, acting like microscopic barcodes. This allows researchers to mix vast numbers of compounds into a single solution for a single experiment. KRICT reports that even when the number of compounds exceeds tens of millions, the screening process can be finished within one month.

Did you know?
DEL technology uses a “synthesis-and-splitting” cycle. By repeating this cycle with different chemical building blocks, researchers can generate a mixed library of one million compounds from just a few hundred starting materials.

Comparing HTS and DEL Screening Methods

The following comparison highlights the efficiency gains reported by KRICT regarding the scale and speed of compound screening:

Feature Conventional HTS DEL Technology
Screening Method Individual compounds in separate wells Mixed solutions in a single experiment
Time for 1M Compounds Approximately 2 months Under 1 month
Compound Capacity Limited by plate volume/time Tens of millions simultaneously

Why is the DEL CoreBank Platform important for South Korean industry?

Until this launch, many domestic companies had to rely on in-house platforms or outsource screening to expensive overseas providers. This dependency often led to high costs and concerns regarding the leakage of sensitive research information. The DEL CoreBank Platform aims to provide a domestic alternative for industry, academia, and research institutes.

To encourage adoption, service fees are being reduced by 50% through 2027. This reduction is supported by the Ministry of Science and ICT and the National Research Foundation of Korea under the “CoreBank Construction Project Based on a Large-Scale DNA-Encoded Library Platform.”

Dr. Jung-Nyoung Heo, Director of the DEL Research Center, stated that the initiative will help reduce South Korea’s dependence on overseas DEL technologies and support efficient domestic drug discovery processes from initial hit discovery to follow-up validation.

What role does Artificial Intelligence play in identifying drug candidates?

Because DEL experiments use mixed solutions, they are susceptible to errors such as nonspecific binding to impurities or the preferential amplification of certain DNA sequences. To solve these technical hurdles, KRICT developed AI-based analysis methods. These models are trained on large-scale experimental datasets to recognize specific structural patterns associated with strong protein-binding affinity.

What role does Artificial Intelligence play in identifying drug candidates?

The process follows these steps:

  • Binding: The compound mixture is exposed to target proteins.
  • Sequencing: Next Generation Sequencing (NGS) identifies which DNA barcodes remain after binding.
  • Decoding: Computational processes match DNA fragments to the original chemical structures.
  • Selection: Machine-learning-based analysis selects the top 50 compounds predicted to have the highest drug potential.

KRICT President Seok-Min Shin noted that providing these advanced services through a platform established with domestic technologies is a meaningful step for Korean researchers.

Pro Tip for Researchers:
If your project requires it, the platform also supports the resynthesis of pure compounds without DNA barcodes and provides experimental validation against your specific target proteins.

Who is currently using the DEL CoreBank Platform?

Several major organizations have already begun utilizing the service to advance their research. These include Daewoong Pharmaceutical, iLAB Inc., the National Cancer Center, Ewha Womans University, and GIST.

Who is currently using the DEL CoreBank Platform?

The platform is designed to support the discovery of small-molecule drug candidates for a variety of medical needs, specifically targeting cancer, immune diseases, and infectious diseases. Researchers can apply for services through the DEL Research Center menu on the Korea Chemical Bank website, following a review process that checks for target overlap.

Frequently Asked Questions

What is DNA-Encoded Library (DEL) technology?
It is a method that attaches unique DNA “barcodes” to chemical compounds, allowing millions of different structures to be screened in a single test using sequencing technology.

How much does the service cost?
Through 2027, service fees are temporarily reduced by 50% due to support from the Ministry of Science and ICT and the National Research Foundation of Korea.

Can the platform help with specific disease targets?
Yes, the platform is intended to assist in finding drug candidates for cancer, immune-related diseases, and infectious diseases.

How do I apply for the service?
Applications are processed through the DEL Research Center menu on the official Korea Chemical Bank website.


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June 10, 2026 0 comments
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Health

Saliva Could Flag One of SA’s Deadliest and Baffling Cancers Sooner

by Chief Editor May 20, 2026
written by Chief Editor

The Future of Non-Invasive Diagnostics: Can a Spit Test Save Millions?

For decades, the gold standard for detecting esophageal cancer has been the endoscopy—a procedure that, while effective, is invasive, expensive, and often inaccessible to those living in rural or underserved regions. By the time a patient feels the physical struggle of swallowing, the window for curative treatment has often slammed shut.

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However, a paradigm shift is occurring. We are moving away from “reactive” medicine toward “predictive” screening. Recent breakthroughs from the Sydney Brenner Institute for Molecular Bioscience (SBIMB) suggest that the secret to early detection isn’t hidden deep within the tissue, but is floating in our saliva.

Did you know? Saliva is more than just water; it contains electrolytes, enzymes, and epithelial cells from which DNA can be extracted, making it a goldmine for non-invasive diagnostic data ([Source]).

The Rise of the “Liquid Biopsy”

The concept of a “liquid biopsy” is transforming oncology. Instead of cutting into an organ to take a tissue sample, clinicians are looking for biomarkers—proteins, circulating tumor DNA, or microbial signatures—in bodily fluids.

The Rise of the "Liquid Biopsy"
Liquid Biopsy

The focus is now shifting toward the oral microbiome. Researchers have identified that patients with oesophageal squamous cell carcinoma (ESCC) exhibit a distinct bacterial fingerprint in their saliva. Specifically, the increased abundance of bacteria like Fusobacterium nucleatum serves as a red flag, signaling that something is wrong long before a tumor becomes visible on a standard scan.

This trend suggests a future where a simple cheek swab or saliva sample could act as a “triage tool.” Rather than putting every high-risk patient through an expensive endoscopy, doctors can use microbial screening to identify who needs urgent intervention, drastically reducing healthcare costs and patient anxiety.

AI and the “Digital Signature” of Disease

The real magic happens when we combine biology with Big Data. The human eye cannot possibly map the thousands of bacterial variations in a saliva sample, but machine learning can.

New Saliva Test for Detecting Hereditary Cancers

By using genetic sequencing and AI, scientists can now identify “microbial patterns” that correlate with specific cancers. Here’s the birth of the digital signature—a unique biological code that tells a physician not just that a disease is present, but potentially what subtype It’s and how it is progressing.

Looking forward, People can expect these AI models to integrate with wearable tech. Imagine a future where your health data is monitored continuously, and a periodic home-based saliva test syncs with an AI to alert your doctor the moment your microbial balance shifts toward a high-risk profile.

Pro Tip: While we wait for these tests to hit the mainstream, maintaining rigorous oral hygiene is key. The link between oral bacteria and systemic health is profound; regular dental check-ups are your first line of defense in monitoring the oral microbiome.

Closing the Global Health Gap

One of the most promising trends of this research is its application in “high-incidence belts.” Oesophageal cancer doesn’t strike equally; it clusters in parts of China, Iran, and Eastern Africa, often affecting people as young as 40.

Closing the Global Health Gap
South African cancer patient medical scan

In these regions, the barriers to healthcare are immense. A low-cost, saliva-based test removes the need for high-tech hospital infrastructure for initial screening. This democratizes cancer detection, moving it out of elite urban centers and into rural clinics where it is needed most.

researchers are now exploring mutation signatures. By analyzing the DNA of tumors, scientists can find “molecular fingerprints” left by environmental pollutants, smoke, or contaminated water. This allows public health officials to identify exactly what in the environment is causing the cancer, leading to targeted policy changes to prevent the disease entirely.

For more on how lifestyle changes impact long-term health, see our guide on preventative screening strategies.

FAQs: Saliva Testing and Cancer Detection

Can a saliva test replace a biopsy?
No. Currently, saliva tests are intended as triage tools. They can flag high-risk individuals who need an endoscopy, but a tissue biopsy remains the only way to definitively diagnose cancer.

Is this test available for everyone now?
Not yet. Most of this research is in the validation phase. It must be tested across different populations, diets, and geographies to ensure the “microbial signature” is universal before it enters the clinic.

What causes the bacteria in my saliva to change?
Bacteria can change due to diet, smoking, oral hygiene, and the presence of disease. In the case of ESCC, the cancer may create a “blockage” or a change in the environment of the esophagus that allows specific bacteria to flourish.

What do you think? Would you feel more comfortable with a simple saliva swab than an invasive procedure for early cancer screening? Share your thoughts in the comments below or subscribe to our newsletter for the latest updates in medical innovation.

May 20, 2026 0 comments
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Tech

Tending The Frontier: Pietro De Camilli and the Cell Biology of Neurons

by Chief Editor May 14, 2026
written by Chief Editor

Beyond the Synapse: The New Era of Cellular Neuroscience

For decades, the study of the brain focused largely on the “wiring”—how neurons connect and transmit signals. But a paradigm shift is occurring. We are moving deeper, shifting our gaze from the network to the machinery inside the cell. The frontier of neuroscience is no longer just about the synapse; it is about the cell biology that sustains it.

Research into the molecular machinery of neurons—specifically the dynamics of lipid-based membranes—is revealing why our brains fail and, more importantly, how we might fix them. By understanding the “molecule to mind” pipeline, scientists are uncovering the hidden triggers of neurodegenerative diseases long before the first tremor or memory lapse appears.

Did you know? The brain’s “trash cans,” known as lysosomes, are critical for survival. When these organelles leak or fail, they release toxic waste into the cell, a process now linked to the progression of Parkinson’s disease.

The ‘Cellular Trash Can’ and the Future of Parkinson’s Treatment

One of the most promising trends in neurobiology is the focus on lysosomal fragility. Recent breakthroughs have highlighted the role of specific proteins, such as VPS13C, which act as a biological repair crew. When a lysosome is damaged, these proteins form bridges with the endoplasmic reticulum to seal the leak with fresh lipids.

In the future, we can expect a move toward organelle-targeted therapies. Rather than treating the symptoms of Parkinson’s, the next generation of medicine will likely aim to bolster the cell’s internal repair mechanisms. Imagine a drug that enhances the efficiency of VPS13C or mimics its bridge-forming capabilities to prevent neuronal death.

This shift toward precision cell biology allows researchers to utilize tools like CRISPR/Cas9 gene editing to create highly accurate disease models, accelerating the path from lab discovery to clinical application.

The Role of Lipid Membrane Dynamics

We are beginning to realize that the brain is not just a series of electrical impulses, but a complex dance of fats and proteins. The way synaptic vesicles—tiny lipid packages—store and release neurotransmitters is fundamental to everything from learning to mood regulation.

The Role of Lipid Membrane Dynamics
Cell Biology

Future trends suggest that lipidomics (the study of the full complement of lipids in a cell) will become as vital as genomics. By mapping the lipid identity of neurons, scientists may find new biomarkers for early disease detection, allowing for intervention years before traditional symptoms manifest.

Pro Tip for Health Enthusiasts: While we wait for molecular therapies, supporting brain health through omega-3 fatty acids is essential. These lipids are the primary building blocks of the neuronal membranes discussed in cutting-edge cell biology.

The Convergence of AI and Biological Cognition

The rise of Large Language Models (LLMs) and artificial intelligence has sparked a profound debate: is human thought “magic,” or is it simply a complex series of chemical reactions? The trend in neuroscience is leaning toward the latter—the idea that we are, essentially, “just chemistry.”

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The future of cognitive science lies in the hybridization of AI and biological data. We are entering an era where AI won’t just mimic human behavior, but will be used to simulate the molecular interactions of the brain. By feeding AI data on protein folding and membrane dynamics, researchers can predict how a mutation in a single protein will ripple upward to affect consciousness and behavior.

This “bottom-up” approach—starting at the molecule and working toward the mind—is the only way we will eventually solve the “Holy Grail” of science: understanding consciousness.

Interdisciplinary Collaboration: The New Gold Standard

The days of the lone scientist in a silo are over. The most significant breakthroughs are now happening at the intersection of seemingly unrelated fields. We are seeing a powerful merger of:

  • Biophysics: Using mathematical measurements to explain biological behavior.
  • Cell Biology: Mapping the structural organelles of the neuron.
  • Clinical Medicine: Translating molecular findings into patient care.

This collaborative model, which pairs the visual rigor of electron microscopy with the analytical precision of physics, is creating a more holistic view of the brain. This approach is essential for tackling complex conditions like neurodegenerative disorders, where a single cause is rarely the whole story.

Reader Question: If we can eventually map every chemical reaction in the brain, will we be able to “upload” consciousness or cure all mental illness? These are the questions driving the next century of research.

FAQ: The Future of Brain Science

What is the role of VPS13C in the brain?
VPS13C is a protein that helps repair damaged lysosomes (the cell’s waste disposal system) by transporting lipids to seal holes in their membranes. Mutations in this protein are linked to familial Parkinson’s disease.

FAQ: The Future of Brain Science
FAQ: The Future of Brain Science

How does cell biology differ from traditional neuroscience?
Traditional neuroscience often looks at how neurons communicate (the network). Cell biology looks at the internal machinery—the organelles and proteins—that allow the neuron to function in the first place.

Can AI help cure neurodegenerative diseases?
Yes. AI is being used to analyze massive datasets of protein structures and cellular images, helping scientists identify the exact molecular flaws that lead to diseases like Alzheimer’s and Parkinson’s.

What is the “molecule to mind” approach?
It is a research philosophy that seeks to understand the brain by starting at the smallest scale (molecules and atoms) and tracing how those interactions create complex biological structures, which eventually result in cognition and consciousness.

Join the Conversation

Do you believe consciousness is purely chemical, or is there something more to the human mind? We want to hear your thoughts on the future of brain research.

Leave a comment below or subscribe to our newsletter for the latest updates in frontier science!

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May 14, 2026 0 comments
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