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DeepMatcher®

Language Model-based Virtual Screening

LM-VS™ is an innovative virtual screening platform that combines AI screening with a Designed Scaffold based on protein structure analysis, enabling the rapid and precise identification of promising candidates within a vast compound library.

Learn more LM-VS™

Breaking the Repetition Barrier —
LM-VS™’s Shortcut to Discovery

In the early stages of drug discovery, researchers go through countless experiments to identify promising candidate compounds. This process consumes a great deal of time and resources.
LM-VS™ minimizes trial-and-error by narrowing down the compound pool through AI-based virtual screening and structure-based Designed Scaffold modeling, leading to faster, more cost-effective candidate selection.

Syntekabio’s Role

in the Drug Discovery Journey

LM-VS™ is a core platform for the Hit Discovery stage in small molecule drug development, enabling the rapid and precise identification of promising candidates from vast compound libraries.
It seamlessly integrates with Fine-Tuning™, DeepMatcher®, and DDCS™ in subsequent stages, supporting an efficient drug development journey.

The Power of AI & Structural Design —
Accelerating Drug Discovery

LM-VS™ drastically accelerates the discovery of new drug candidates by screening massive chemical compound libraries using AI prediction models trained on 3D protein structure data.
The platform evaluates molecular structures with an AI model, then applies structural knowledge through Designed Scaffold to generate new molecules optimized for the target.
By minimizing repetitive experiments and maximizing efficiency, LM-VS™ has successfully identified hits within just a few months — a process that traditionally would have taken several years.

Core Process of LM-VS™

LM-VS™ streamlines the early-stage drug discovery process with AI,
enabling fast and precise identification of potential drug candidates.

Target Protein Selection

Begin the process by entering the name of the target protein or its gene symbol.

Pocket Detection & Scaffold Design

AI automatically detects the binding site of the protein and suggests the optimal core structure (Designed Scaffold).

AI-Based Virtual Screening

A vast compound library is screened using AI to rapidly identify candidates with high binding potential.

Candidate Filtering & Precision Evaluation

Hit compounds are ranked and selected based on structural and activity indicators such as binding affinity and stability.

Why LM-VS™ Matters

Scientific and Rational Approach

AI-driven screening and design based on 3D structural analysis of target proteins and extensive data

Innovative Time Reduction

Shortens candidate discovery from several years to a few weeks or months, significantly accelerating research

Efficient Cost Saving

Minimizes unnecessary experiments, improving R&D resource efficiency

High Prediction Accuracy

Enhances success probability through structural simulation and AI learning

Key Application Areas

LM-VS™ is being applied in a wide range of research and development contexts by pharma and biotech companies.
Below are examples of how the platform is helping reshape drug discovery across diverse use cases: