包阅导读总结
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关键词：BioCorteX、BigQuery、临床实验、药物研发、细菌交互
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总结：BioCorteX 是一家领先的科技生物公司，致力于研究药物与细菌的关系。借助 BigQuery，其改变了生物技术格局，开发出互补技术，加速药物研发，解决临床实验中的难题。
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主要内容：
– BioCorteX 专注于解答药物是否有效，创建了首个生物学模拟器，其成功源于创新技术、云优先策略和“统一生物学”方法。
– 全球制药业药物研发成功率低，细菌与药物的相互作用影响临床试验。
– 处理大量数据耗时且资源需求高，阻碍进展。
– 在 Google Cloud 帮助下，BioCorteX 改变局面。
– 开发了基于 BigQuery 存储的 Carbon Knowledge™知识图和 Carbon Mirror™模拟器。
– 将航空领域的数据密集型仿真技术应用于生命科学和制药领域。
– BigQuery 对大量数据的管理和查询是关键。
思维导图：
文章来源：cloud.google.com
作者：Nik Sharma,Amber Hilton
发布时间：2024/7/15 0:00
语言：英文
总字数：925字
预计阅读时间：4分钟
评分：88分
标签：生物科技,BigQuery,数据分析,药物开发,临床试验
以下为原文内容
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Editor’s note: The post is part of a series showcasing partner solutions that are Built with BigQuery.
BioCorteX is a leading techbio company that’s focused on answering the almost impossible question: will this drug work? To find the answer, BioCorteX created the first biology emulator, which unlocks drug-bacteria relationships to discover and develop more compatible therapeutics. The company uses highly differentiated technology, backed by a scientific approach, with an understanding that while novel technology is valuable, it can only take you so far. BioCorteX owes its success to the combination of innovative technology, a cloud-first strategy, and a “unified biology” scientific approach that makes its offering so unique.
Small interactions, big impact on clinical trials
The global pharmaceutical industry is currently spending nearly $250 billion a year on developing drugs with only a 4% chance of success,1 which highlights that the obstacles to regulatory approval can greatly limit the options for people living with health conditions.
Recent research shows that the bacteria living on and within us can interact with drugs and lead to failed clinical trials. The goal of BioCorteX is to dive deeper into the relationship between bacteria and drugs to uncover whether a clinical trial is a true therapeutic failure.
However, this task typically requires long wait times of weeks or months while having to clean and process extremely large volumes of data to move from hypothesis to validation. The inevitable demand on compute and storage resources is also very high, impacting cost and performance. This can prevent scientists and clinicians from making meaningful progress.
With the help of Google Cloud, BioCorteX is changing the biotech landscape, achieving fast results that would have seemed impossible only a few years ago.
BioCorteX has developed two complementary technologies that are accelerating this change. The first is called Carbon Knowledge™, an extraordinarily large biology-based knowledge graph with over 3bn nodes and 16bn edges, stored on BigQuery. The second is the foundational emulator, Carbon Mirror™, which builds on Carbon Knowledge™ to uncover hidden interactions between bacteria, the human physiology, diseases, and drugs. Actionable insights from Carbon Mirror are already informing deep mechanistic understanding and greater certainty of treatment response to enable the accelerated development of sophisticated drugs at scale.
In developing these capabilities, BioCortex adapted data-intensive emulation technologies that have been tried and tested in aerospace and applied them to the life science and pharmaceutical domains. These techniques go beyond traditional modeling and simulation capabilities and are crucial when delivering results in mission-critical system design in aerospace. The structured management and interrogation of vast quantities of data in BigQuery is key in enabling the BioCorteX technology ecosystem to deliver unique actionable insights.
