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Molcure
Tokyo, Japan
A
11-50 Employees
2013
Key takeaway
The company leverages over 1 billion proprietary biopharmaceutical data and advanced AI technology to enhance drug discovery by identifying valuable antibodies and peptides. Their approach includes machine learning models that predict key properties of biopharmaceuticals, facilitating faster and more efficient development processes.
Reference
Core business
Molcure Inc. | Accelerating drug discovery
GeneFrontier Japan
Sakai, Japan
A
- Employees
2010
Key takeaway
The company specializes in innovative solutions for protein engineering and biologics, with a focus on antibody drug candidates and phage display technology. Their expertise includes the design of low molecular weight compounds from cyclic peptides, which is highly relevant to AI drug discovery.
Reference
Product
Drug Discovery | 日本語版
SBX Corporation
Tokyo, Japan
A
11-50 Employees
2011
Key takeaway
The Systems Biology Institute (SBI) and its subsidiary, SBX BioSciences, Inc., are dedicated to advancing drug discovery through the integration of AI and computational systems biology. Their focus on developing innovative technologies and platforms, such as the Garuda Platform and Gandhara AI framework, enhances research capabilities in predictive biology and clinical decision-making.
Reference
Core business
SBX Corporation
AI R&D: Deep learning, Machine learning, Automation, Text mining. Development, customization and maintenance of software platforms for drug discovery and life science research.
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Ampametry
Yokohama, Japan
A
- Employees
2019
Key takeaway
The company specializes in central nervous system drug discovery, particularly focusing on neuropsychiatric drugs through the use of AMPA-PET technology.
Reference
Service
Service – Ampametry
We support the discovery of new neuropsychiatric drugs with AMPA-PET technology. Contract research for clinical and non-clinical studies using AMPA-PET AMPA receptors are thought to be associate…
PRISM BioLab
Fujisawa, Japan
A
11-50 Employees
2006
Key takeaway
PRISM BioLab specializes in drug discovery through its innovative PepMetics Technology, which aims to transform "undruggable" targets into viable drug candidates. Their focus on peptide mimetic small molecules positions them at the forefront of developing new therapeutics.
Reference
Product
Targeting Intrinsically Disordered Proteins - PRISM BioLab
天然変性タンパク質（IDP）は重要性が示されているにもかかわらず、結晶構造の入手が困難なため、ほとんどの標的の結合位置については解明されていません。
ThinkCyte
Tokyo, Japan
A
11-50 Employees
2016
Key takeaway
The company focuses on advancing drug discovery through innovative high-content screening methods that integrate artificial intelligence and ultrafast imaging techniques. Their approach allows for the efficient characterization and isolation of cell populations, enhancing the identification of genes and compounds that influence disease-related cellular phenotypes.
Reference
Product
Drug Discovery - ThinkCyte
Pooled High-Content Screening of Genes and Drugs Our Solution for Drug Discovery Image-based high-content screening (HCS) is a powerful method for identifying genes compounds that induce physiologically relevant disease-linked cellular phenotypes. However, it is time-consuming expensive due to its reliance on well-to-well imaging of microplates. Using ThinkCyte’s proprietary machine Vision-based Cell Sorting technology, we have developed a new method that enables high-throughput image-based HCS in a pooled format. This novel method is compatible with various types of libraries, including CRISPR gRNAs, shRNAs, antibodies, peptides, small molecule compounds. From array to pool Key Advantages of Our Technology Compatible with a wide range of libraries Small molecule libraries, CRISPR, shRNA, peptide, phage … Continued
SOCIUM Inc
Tokyo, Japan
A
1-10 Employees
2017
Key takeaway
SOCIUM is an AI-powered drug discovery and development company that utilizes advanced technologies like Augmented Intelligence and Machine Learning to address the complexities of drug discovery. They have a diverse portfolio targeting over 15 diseases, including oncology and rare diseases, emphasizing a comprehensive systems biology approach.
Reference
Core business
SOCIUM – SOCIUM
SOCIUM is an AI-powered drug discovery and development company focused on first-in-class small molecules. We currently have a development portfolio of over 15 diseases, including oncology and rare diseases. By taking a systems biology approach using our Augmented intelligence and Machine Learning – instead of hypothesizing the mechanism of a disease and focusing on only a few related compounds, we profile the entire disease by analyzing various OMICS data.
KOTAI Biotechnologies
Japan
A
11-50 Employees
2016
Key takeaway
KOTAI Biotechnologies, Inc. utilizes advanced AI technology combined with a deep understanding of immunology to enhance drug discovery and development. Their expertise in immuno-informatics and innovative research networks positions them at the forefront of creating next-generation therapeutics.
Reference
Core business
KOTAI Biotechnologies
KOTAI Biotechnologies, Inc., , as experts of Immuno-informatics, contribute towards development of next generation therapeutics through AI-based big data analysis and three dimensional molecular simulation.
AceRNA
Kyoto, Japan
A
1-10 Employees
2018
Key takeaway
The company is a biotech startup dedicated to developing innovative genetic therapies that specifically target disease-causing cells, aiming to create revolutionary treatments through collaboration with partners using RNA Switches.
Reference
Core business
News - aceRNA
aceRNA
Red Arrow Therapeutics
Tokyo, Japan
A
1-10 Employees
2021
Key takeaway
Red Arrow Therapeutic is a biotech startup that focuses on developing innovative drug delivery systems using nanotechnology.
Reference
Core business
HOME | Red Arrow Theraputic
Technologies which have been searched by others and may be interesting for you:
The AI drug discovery industry in Japan is rapidly evolving, driven by advancements in machine learning and data analytics. Key considerations include the regulatory landscape, which is influenced by the Pharmaceuticals and Medical Devices Agency (PMDA) that ensures safety and efficacy in drug development. Understanding Japan's unique cultural and business environment is crucial, as partnerships with local universities and research institutions often enhance innovation. Challenges in this sector include the integration of AI technologies into traditional drug discovery processes and the need for high-quality data to train AI models effectively. However, opportunities abound, especially in personalized medicine and the development of therapies for rare diseases, where AI can significantly accelerate the research timeline. The competitive landscape is robust, with both established pharmaceutical companies and startups vying for market share, necessitating a keen awareness of emerging players and their technological capabilities. Environmental concerns are also becoming increasingly relevant, as sustainability practices gain importance in the pharmaceutical industry. Finally, Japan's position in the global market is significant, with its advanced infrastructure and strong government support fostering a conducive environment for AI-driven innovations, making it a vital player in the international drug discovery arena.
Some interesting numbers and facts about your company results for Ai Drug Discovery
| Country with most fitting companies | Japan |
| Amount of fitting manufacturers | 36 |
| Amount of suitable service providers | 29 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2006 |
| Youngest suiting company | 2021 |
Some interesting questions that has been asked about the results you have just received for Ai Drug Discovery
What are related technologies to Ai Drug Discovery?
Based on our calculations related technologies to Ai Drug Discovery are Biomedical (Red), Bioinformatics (Gold), Environmental Biotechnology (Grey), Agricultural Biotechnology (Green), Food Related Biotechnology (Yellow)
Who are Start-Ups in the field of Ai Drug Discovery?
Start-Ups who are working in Ai Drug Discovery are Red Arrow Therapeutics
Which industries are mostly working on Ai Drug Discovery?
The most represented industries which are working in Ai Drug Discovery are Other, Biotechnology, IT, Software and Services, Marketing Services, Chemicals
How does ensun find these Ai Drug Discovery Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.