Research

Section I — Vision and Theoretical Foundation

I-1. A Paradigm We Call "Drug-Minimal Medicine"

While advances in pharmaceuticals have dramatically extended the human lifespan, they have also fueled a negative spiral of "mass-production → mass‑administration → drug‑dependence.” Since 2013, the Taki Laboratory has pursued a vision we summarize as “One‑Shot, Side‑Effect‑Free, Drug‑Minimal or Drugless Society.” One of our objectives is to realize medicines that act for a prolonged period after a single dose and interact with nothing but the pathogenic target protein. One key lies in medium‑sized, covalent inhibitors we term biological Target Covalent Inhibitors (bioTCIs). (bioTI = reversible; bioTCI = irreversible/covalent.)

I‑2. Three Major Advantages of bioTCIs

・Long‑Lasting Efficacy — Because they form an irreversible covalent bond with the disease‑related protein, efficacy (PD) is sustained regardless of pharmacokinetic (PK) clearance.
・High Specificity & Low Side Effects — Peptides or nucleic acids, as “medium‑sized” scaffolds, engage the target protein through multivalent contacts, dramatically suppressing off‑target reactions that cause side effects.
・Flexible Chemical Design — Organic synthesis, evolutionary molecular engineering, and click chemistry can be freely combined for rapid, straightforward optimization.

FAQ: Why “Medium‑Sized” Molecules?

・Safety — Multivalent recognition of the target suppresses side effects.
・Synthetic Accessibility — Easy chemical/enzyme‑based modifications.
・Development Speed — Library technologies + high‑throughput selection (HTS) enable swift optimization.

Challenges and Strategies

・Weaknesses of non‑covalent medium‑sized targeted inhibitors (bioTIs): susceptibility to proteases and rapid renal clearance.
・Weakness of conventional TCIs: permanent off‑target reactions caused by nonspecific binding of the small molecules.
Our laboratory focuses on technologies that overcome both issues:
1) After covalent binding, a bioTCI “self‑capsulates”, blocking proteases and gaining size to avoid renal filtration.
2) Before covalent binding, we combine half‑life‑extension chemistries such as Fc‑fusion.
3) During covalent binding, we use latent warheads that react selectively within a Match-Making Microenvironment (MM-ME) formed upon target binding—a “Trigger & Lock” mechanism that minimizes reaction elsewhere.

I‑3. Layered Theoretical Infrastructure

Layer Laboratory Technologies & Orientation Core Message
Chemistry 10BASEd-T (10BT) on T7 phage, NEXT-A, Affinity/Reactivity Co-selection (ARC; ARC-10BT; ARCaDia) Biocompatible yet highly tractable covalent reactions; Trigger & Lock‑type combinatorial selection.
Computation bioTCI hub (NGS × MS × MD × AI) Integrated learning of affinity + reactivity + dynamic structure
Measurement Force-Responsive Materials/Device Co-invention Real‑time integration of mechanical stimuli and pharmacological action.

This multi‑layered architecture underpins a future in which “medicine is barely used at all.”

I‑4. Unresolved Scientific Questions — How Fundamental Science Opens Application

I‑4‑1. The Enigma of the Match‑Making Microenvironment (MM‑ME)

Latent warheads such as aryl‑OSO₂F SuFEx are completely inert in aqueous solution, yet their reaction rate can increase by three orders of magnitude upon binding the target protein. This cannot be explained by simple proximity; we posit formation of an MM‑ME — a “zero‑turnover enzyme” that reshapes the electronic landscape of the latent electrophile via electrostatic fields, hydrogen‑bond networks, and desolvation. Sub‑picosecond dynamics, in which protein fluctuations and solvent rearrangements cooperatively propel the reaction coordinate, remain unobserved. Dissecting these micro‑reaction fields is key to making bioTCIs designable.

Question — Can we capture the moment the latent warhead awakens?

I‑4‑2. Essential Roles of Weak / Transient Interactions

The first molecular encounter in vivo is an “encounter complex” (Kd µM–mM; τ µs–ms). We hypothesize that this invisible step—akin to a tentative handshake—pre‑organizes the complex, matures the reaction field, and then cascades into irreversible covalent bonding. By ‘freezing’ these weak / transient interactions using our ‘super-glue’, we aim to validate the true power of MM‑ME.
Weak/Transient Motif‑Finder — We integrate NGS (ARC enrichment), cross‑linking MS/MS (covalent sites), and coarse‑grained MD to computationally freeze µs‑scale complexes inaccessible to X‑ray/NMR. AI proposes short core motifs (3–6 aa/nt) that feed back into new libraries.

Question — Does biology start with a weak handshake, with the encounter complex cultivating MM‑ME?

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Section II — Technological Concepts & Lab History

II‑1. Technology Timeline: Major Achievements & Platforms (2013–2026)

Key accomplishments of bioTCIs:

We have established the combinatorial selection (ARC) platform for bioTCIs; because we are a small laboratory, collaboration with researchers of diverse expertise—including our university’s visiting professors—is indispensable.

Our compact team is complemented by a network of cutting-edge professionals specializing in mass spectrometry, MD simulation, and mechano-optics, enabling multidisciplinary projects without the overhead of a large-scale lab.

Lab History Table:
Year Highlight Key Paper
2013– Discovered 10BASEd‑T (10BT) reaction enabling warhead installation onto T7 phage peptide libraries → start of bioTCI experiments
Mol. BioSyst. 2013
(with Prof. Ito, Kagoshima Univ.; first author Dr. Fukunaga, now Assoc. Prof., Miyazaki Univ.)
Mol. BioSyst. 2013
2018–19 1) First combinatorial selection of peptide‑type bioTCIs via indirect 10BT (mock warhead); direct 10BT still challenging
BC, 2018
2) Precise Fc fusion into bioTIs via NEXT‑A (with Ajinomoto Co.)
BC, 2019 (Front Cover)
3) First mechano‑gel whose fluorescence shifts with strain (seed of stress‑based therapy; with ETH Zürich & Keio Univ.)
Soft Matter, 2019 (Back cover)
1) BC, 2018
2) BC, 2019(Front Cover)
3) Soft Matter, 2019 (Back cover)
2021 ARC‑10BT established: direct acquisition of peptide‑type bioTCIs via Trigger & Lock with latent warhead
ChemComm, 2021 (Hot & Front Cover)
ChemComm, 2021 (Hot & Front Cover)
2024 ARCaDia: ultra‑rapid one‑round, non‑SELEX acquisition of DNA‑type bioTCIs (with UW & Hokkaido Univ. Med.)
ChemComm, 2024 (Back cover)
ChemComm, 2024 (Back cover)
2025– bioTCI hub (NGS×MS×AI reaction‑profile DB) and MechanoDB (3D stress‑imaging platform) launched
2026 SiBRe: We developed a simultaneous birefringence-stress reader and showed that hydrogel photoelasticity can be programmed through molecular and network design, establishing a label-free platform for quantitative mechanosensing. This work was conducted with Prof. Takayuki Tomaru and collaborators at the National Astronomical Observatory of Japan. Dr. Riku Katsuki completed his Ph.D. through this project and is now a JSPS postdoctoral fellow at Keio University.
ChemComm, 2026 (Outside Front Cover)
ChemComm., 2026, 62, 6314–6318 (Outside Front Cover).
DOI: 10.1039/D5CC06937H

・Both peptide-type and DNA-type bioTCIs acquire serum-/nuclease-resistance once the covalent bond is formed.
・For DNA-type bioTCIs, administration of a complementary strand (CS) can neutralize the therapeutic effect on demand.

II-2. Our Laboratory’s Position in the (bio)TCI Research Timeline (red frame)

II‑3. Key Concepts Underpinning the Technology

II‑3‑1. Latent Warheads

Latent warheads such as aryl‑OSO₂F SuFEx (Sharpless et al. PNAS,  2018) are inert in water but activate exclusively within pseudo‑catalytic protein interiors. Such locale‑specific activation nearly eliminates side reactions and powers our ARC protocols to finish in a single round. No latent warhead yet combines dramatic rate acceleration with broad compatibility for diverse nucleophilic residues; designing one is a focus going forward.

II‑3‑2. Affinity / Reactivity‑Based Co‑Selection (ARC); Trigger & Lock!

Step 1: target affinity “arrests” the binder and organizes the reaction micro-environment.
Step 2: reactivity “locks” via covalent bond — a two‑factor authentication (like smartphone) that eradicates side reactions. Both peptide ARC‑10BT and nucleic‑acid ARCaDia also shorten timelines and simplify procedures.

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Section III — Two Core Research Pillars (2026–)

III‑1. bioTCI hub: Multilayer Data‑Integration Platform

To make One-Shot Therapy genuinely controllable, we seek to understand the full sequence from weak and transient target recognition to selective covalent-bond formation. A central scientific question is how a local Match-Making Microenvironment (MM-ME) activates a latent warhead only after the appropriate biomolecular complex has formed.

The bioTCI Hub integrates experimental and computational data—including next-generation sequencing (NGS), mass spectrometry (MS), molecular dynamics (MD) simulations, and AI-assisted analysis—to investigate transient biomolecular interactions and improve bioTCI design.

Our aims are to:
・identify reproducible relationships among molecular sequence, target recognition, reactivity, and dynamic structure;
・clarify the general principles by which local molecular environments enable selective covalent-bond formation; and
・translate these insights into experimentally testable bioTCI designs.

This research connects fundamental questions in chemical biology and molecular recognition with the development of peptide- and DNA-based biomolecular targeted covalent inhibitors.

III‑2. Mechano‑3D Imaging & Force Therapy

Cells communicate with their surroundings not only through chemical signals but also through force. Invisible microscale stress fields are involved in cancer-cell invasion, stem-cell differentiation, tissue formation, bone formation, inflammation, and wound healing. Our long-term goal is to visualize these forces in three dimensions and use this information to understand and ultimately control the mechanical environments of cells and tissues.

In 2019, we reported a mechanochromic protein–polymer hydrogel that converts mechanical strain into an optical signal in aqueous, soft-material environments. This study established a foundation for visualizing mechanical deformation in biologically relevant materials (Taki et al., Soft Matter, 2019; Back Cover).

In 2026, in collaboration with Prof. Tomaru and colleagues at the National Astronomical Observatory of Japan, we established SiBRe, a simultaneous birefringence–stress reader, namely ‘SiBRe’ system. By co-developing the hydrogel material and measurement system, we demonstrated that hydrogel photoelasticity can be programmed through molecular and network design. This label-free, quantitative mechanosensing platform provides a foundation for future three-dimensional imaging of cell-generated forces (Katsuki et al., Chem. Commun., 2026; Outside Front Cover).

Current work aims to extend this platform to biologically relevant three-dimensional systems and to establish robust methods for quantitative cellular mechanobiology.
This project brings together organic synthesis, polymer materials, protein engineering, optics, image analysis, cell biology, and data science. Students do not need expertise in every area before joining. They may enter the project from chemistry and materials science, physics and engineering, or the life sciences.


Interested in joining these projects as a Ph.D. student? See “Prospective Ph.D. Students” and contact Prof. Taki.

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