Syntekabio Unveils 'Develop Now, Pay Later' Model for AI-Driven Drug Discovery
August 29th, 2024 2:15 PM
By: Newsworthy Staff
Syntekabio introduces a risk-minimizing 'Develop Now, Pay Later' model for drug development, leveraging AI technology to accelerate the discovery of novel therapies without upfront costs for clients.

Syntekabio, an artificial intelligence (AI) based drug development company, has announced a groundbreaking initiative aimed at revolutionizing the pharmaceutical and biotechnology industries. The company's new 'Develop Now, Pay Later' model, integrated with its AI-powered STB LaunchPad program, promises to significantly reduce the financial risks and time constraints associated with drug discovery and development.
This innovative approach allows companies to explore the potential of their target proteins without incurring initial costs, potentially accelerating the development of new therapies across a wide range of diseases. Syntekabio's offer includes a complimentary feasibility study, followed by a comprehensive analysis of the target protein using the STB LaunchPad program, with payment only required upon delivery of agreed-upon validated results.
At the heart of this initiative is Syntekabio's proprietary DeepMatcher® technology platform, which harnesses the power of AI to sift through over 10 billion known compounds and 1,400 drug targets. This vast database covers more than 70% of human diseases, providing an unprecedented resource for drug discovery efforts. The company's AI Bio-Supercom Center, boasting 5,000 servers, 40,000 CPU cores, and 2,500 GPUs, forms the backbone of this cutting-edge technology.
Jongsun Jung, PhD, CEO of Syntekabio, emphasized the company's commitment to client success and patient benefit, stating, 'We want our clients to achieve their goal of bringing safer and more effective therapies to patients. Thus, our mission at Syntekabio is to deliver to our clients first-in-class or best-in-class compounds, fast.'
The 'Develop Now, Pay Later' model represents a significant shift in the drug development landscape. By removing the initial financial barriers, Syntekabio aims to encourage more companies to pursue innovative drug targets that might otherwise be deemed too risky or costly to explore. This approach could potentially lead to a surge in the development of novel therapies for a wide range of diseases, benefiting patients worldwide.
Syntekabio's comprehensive suite of advanced proprietary tools is designed to accelerate every stage of the drug discovery and development process. From initial target validation to the generation of IND-enabled candidates, the company's AI-driven approach promises to streamline the traditionally lengthy and costly drug development pipeline.
The potential impact of this initiative extends beyond individual companies. By lowering the barriers to entry for drug discovery, Syntekabio's model could foster greater innovation across the entire pharmaceutical industry. This could lead to a more diverse range of drug candidates being explored, potentially addressing unmet medical needs and rare diseases that have previously been overlooked due to financial constraints.
For more information about Syntekabio, STB LaunchPad and Develop Now, Pay Later, interested parties can visit the company's website. The company's approach to drug discovery, combining biology with AI and machine learning, positions it at the forefront of the rapidly evolving field of computational drug design.
As the pharmaceutical industry continues to grapple with the challenges of developing new drugs efficiently and cost-effectively, Syntekabio's 'Develop Now, Pay Later' model and AI-driven approach could represent a significant leap forward. By reducing financial risks and accelerating the drug discovery process, this initiative has the potential to reshape the landscape of pharmaceutical research and development, ultimately benefiting patients in need of new and effective therapies.
Source Statement
This news article relied primarily on a press release disributed by News Direct. You can read the source press release here,
