Despite the many scientific advances in drug discovery and new therapeutic modalities over the last century, little progress has been made in reducing the time and cost of delivering new drugs to patients in need. As we enter the age of AI, the pharmaceutical sector continues to battle the complexity of the many scientific processes and data sources across the drug development lifecycle. The challenge of bringing order to such a complex product lifecycle has created a notable gap in other industries when it comes to laying the data foundation needed to support the accelerating digital revolution. A 2022 McKinsey survey that analysed digital and AI quotient scores across industries, using a 100-point scale, showed that even the most digitally advanced pharma organisations were 30 or more points behind the digital leaders who have scores hitting 80 points or more. It’s clear that there will be a profound impact of closing this gap on patient outcomes, but this requires a digital strategy that is hyper-focused on accelerating high-quality drug development lifecycle. If the monumental endeavour of developing novel, efficacious therapies wasn’t enough to focus on, the pharma industry is faced with constant market pressures. The U.S. Inflation Reduction Act and increasing competition driven by rising patent expirations are creating a perfect storm of downward pricing pressure. In a world where it takes 12-15 years and 2 billion dollars to bring a new drug to market, it’s clear that those who can deliver a new paradigm of digital empowerment will emerge as the market leaders. For over 30 years, IDBS has been at the forefront of bridging this digital gap, empowering pharmaceutical companies by collaborating with scientists to deliver innovative digital workflow solutions that accelerate critical milestones across the lifecycle. Distilling this long history of deep domain experience, IDBS has developed a new Polar platform to integrate the workflows, data and insight that transform how work is done. By placing the power of AI and advanced analytics into the hands of every scientist and process engineer, Polar augments laboratory workflows with the power of in-silico findings. This creates a virtuous circle of workflows and development pathways being accelerated by embedded insights, creating more and better-quality data that drives deeper and more informed insights. By connecting the dots of workflow, data and insight, it becomes clear how pharmaceutical companies can begin shifting from expensive and time-consuming empirical work to a new world of accelerated in-silico outcomes.
Bioinformatics
Advanced genomics and bioinformatics have fundamentally changed the way biotech science is performed. Sequencing projects that previously required years and tens of millions of dollars can now be completed in days for thousands of dollars. These developments have significantly lowered the barrier to entry for companies that develop biotech products. New species can now be quickly sequenced and analyzed for a multitude of attributes, enabling companies to select promising candidates at a much faster pace. Gathering important genomic information early in product development also greatly reduces investment risk — for example: potential products that may be genetically predisposed to disease or allergenicity can be eliminated early, freeing up valuable time and research dollars to be spent on the most promising candidates. Unfortunately, companies drawn by the promise of advanced genomics and bioinformatics are often met with new challenges and risks. Inexperienced teams may not have the necessary skills to design and manage genomics projects. Or they may lack the expertise to organize and evaluate data obtained from a sequencing project after it is completed. This is where a company like Analome can help. Analome harnesses the power of leading-edge genomics and bioinformatics to help clients accelerate product development. The team at Analome draws on decades of industry experience to help clients quickly design genomics projects and extract valuable insights with bioinformatics. The company also maintains an expert network of professionals and organizations in associated fields to further customize solutions depending on the unique needs of the client. “We make it easy for clients to target their R&D investment to the most promising new product candidates regardless of company size or project scope,” says David Kovalic, president of Analome. Analome begins each project by evaluating the needs and capabilities of the client. The results of this evaluation are used to craft a custom solution that provides the client with the appropriate skill sets and insights needed to complete the project. The expert team at Analome will also consult with clients across their entire pipeline, helping them to adopt and maintain best practices long after the initial engagement ends. .
Bioinformatics
A company proven to make novel enzyme development faster and more cost-effective, AUG-Met Bioinformatics modifies naturally occurring enzyme structures to create new biocatalysts. It achieves this by leveraging a neural network, which quantifies the correlations between enzymes and substrates to ensure the construction of final products more likely to elicit the desired reaction. Developing novel enzymes is typically a highly intricate and complex undertaking that involves selecting amino acids from a pool of 20 for each position in the protein sequence. This means filling in just one percent of an enzyme comprising upwards of 400 amino acids would require considering a staggering 160,000 possible combinations, making it practically impossible to test each in a laboratory setting. Traditionally, this process has relied on trial and error and expert knowledge to narrow the options, which can be time-consuming and expensive. Conversely, AUG-Met Bioinformatics’ neural network draws from existing enzymes to generate sequences based on enzymatic behavior and produce a range of potential sequences for the client to test in a laboratory setting. This simplifies the development process by significantly reducing the laboratory testing of sequences and providing clients with a faster and cost-effective means of obtaining enzymes with novel functions. Its methodology resembles Google Translate, but instead of languages, it converts enzymatic behavior into amino acid sequences. “We excel in connecting enzymatic reactions with their sequences through a correlation based on enzyme mechanics and backed by mathematical evidence. This enables us to offer prompt solutions to diverse client specifications,” says Thomas Philps, founder of AUG-Met Bioinformatics. AUG-Met Bioinformatics’ sequence specification feature allows clients to input areas of the sequence, eliminating the need for modifications. Its neural network then fills in the remaining sequence, considering the desired reaction. Clients can reliably generate enzyme sequences using a fill-in-the-blank method through this capability. All these unmatched capabilities are optional modules that clients can choose based on their unique requirements. AUG-Met Bioinformatics also provides enzymatic processes by inferring larger structures from subtle modifications in the substrate. A good example is its ability to phosphorylate lactose by generating enzyme sequences that account for the changes in substrate. This capability allows AUG-Met Bioinformatics to offer innovative solutions to clients seeking specific enzymatic modifications. .
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CDMO
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Bioinformatics
Staff Scientists Are The Technology Experts Within Academic Life Science Research
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Drug Discovery and Development
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IN MY OPINION
Bioinformatics
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LAST WORD
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IN FOCUS
Informatics Streamlines European Vaccine Development
Vaccines constitute a fundamental pillar of public health, credited with averting millions of deaths caused by infectious diseases. Across Europe, well-established vaccination initiatives have notably curtailed the prevalence of ailments such as measles and polio. Nonetheless, the conventional methodology for vaccine creation, characterised by its gradual and meticulous nature, proves inadequate in tackling the complexities introduced by emerging pathogens and their mutating variants. Herein lies the transformative role of informatics, reshaping the paradigm of vaccine development throughout Europe.
The European Life Science Informatics Market Poised For Exponential Growth
Life Science Informatics (LSI) is leveraging computational power to drive drug discovery, personalised medicine, and genomics breakthroughs. This rapidly growing field in Europe is poised to transform healthcare and scientific discovery. The European life science informatics market is projected to be valued at approximately €4 billion in 2024, with an anticipated CAGR of around 10 per cent over the next five years. The growth is driven by the increasing adoption of big data analytics, artificial intelligence (AI), and cloud computing in life sciences research and healthcare.
EDITORIAL
Transforming Healthcare and Research


