Form Bio Resources

How Computational Life Sciences Will Help Us Address and Advance Health Equity

Claire Aldridge, PhD

August 31, 2022

2022-08-31

Despite significant healthcare spending, the United States sees poorer health outcomes than other countries. Learn how computational life sciences can help address this.

Characterizing Full, Empty, and Truncated AAV Capsids

Claire Aldridge, PhD

August 23, 2023

2023-08-23

Industry leaders are prioritizing the improvement of the manufacturability and accessibility of gene therapies, focusing on the distinction between full and empty capsids. Gain insights from our Chief Strategy Officer.

What the FDA’s New Safety Draft Guidance for AAV Gene Therapies Means and How to Be Ready

Claire Aldridge, PhD

March 15, 2023

2023-03-15

Get up to speed on the FDA's safety guidance draft that could impact clinical trials for gene therapy products. Our Chief Strategy Officer provides a framework on how to overcome potential safety issues.

Opportunities for Applying Today’s Computational Advances to Yesterday’s Analysis Techniques

Brandi Cantarel, PhD

November 3, 2022

2022-11-03

Read hear to learn more about the past, present and future of bioinformatics sequence analysis.

Design for Manufacturing: A New Paradigm for Computational Life Sciences

Alexander Titus, PhD

August 30, 2022

2022-08-30

With the help of computational life sciences, biotechnology is evolving. Learn how design for manufacturing design is advancing research, discovery and development processes.

Living in the Golden Age of Deep Learning and Life Sciences

Joe Nipko, PhD

August 9, 2022

2022-08-09

With modern advancements in computational power and learning algorithms, we are in the golden age of deep learning in the life sciences and its applications.

Navigating Viral Vector Biomanufacturing Scale Up: An Essential Handbook

Viral vectors are necessary for cell and gene therapy development yet there are several barriers to high-yield production. Learn how to overcome them in our handbook.

2023-02-16

Biological Validation Studies Report

Form Bio's AI models accurately predict and optimize vector design outcomes. Multiple studies conducted in collaboration with independent labs demonstrate how AI supports the design of more effective and manufacturable gene therapy constructs.

2024-03-29

An Introduction to BLAST and Sequence Alignment Tools

Just learning the basics of BLAST in bioinformatics? Get all the fundamentals on biology’s most widely used bioinformatics tool.

2022-08-29

Computational Life Sciences Careers, Salaries and Resources

Interested in pursuing a computational life science career? There’s a increasing need for talented computational scientists. Here’s why choosing a computational life science tech job is a good idea.

2022-08-29

RNA-Seq Data Analysis 101: A Primer for Computational Life Scientists

There is no one-size-fits-all method for doing RNA-Seq, but some well-accepted guidelines exist. Learn about the best practices for RNA-Seq data analysis.

2022-08-31

Evaluating Computational Life Sciences Platforms: 5 Dos and 5 Don'ts

Download our guide, to learn what you need to know about selecting a Computational Life Sciences Platform that will serve your organizations needs, today and in the future.

2022-12-08

Comparing Form Bio Data Analysis Performance With and Without NVIDIA Clara Parabricks

Genetic variant detection has wide application in genomics including identifying genetic changes that drive phenotypic changes. Over the last decade several open source tools have been developed to improve the accuracy and speed of SNV/Indel variant detection. Download our case report, to learn what how accelerated versions of these tools using GPUs have been shown to reduce computational time and resources.

2022-12-14

Public Gene Therapy Company Elevates Manufacturability of Constructs

Learn about the common challenges in rAAV modeling and production and how FORMsightAI predictively reduced the truncations that impact development cost and time-to-market.

2023-08-16

Resilience Case Study: Accelerating AAV Vector Development with AI

Form Bio and Resilience collaborate on AI-assisted molecular design for 2x increase in encapsidated full genomes.

2024-05-31

Characterizing Drug Products with NGS

A publicly-traded gene therapy company that is developing an AAV therapeutic used Form Bio’s analytical solutions to characterize their DP to streamline the regulatory review process. Briefly, they used long-read NGS sequencing to extract comprehensive sequence data from DPs, and then utilized Form Bio’s analytical solutions to detect and quantify vector sequence variants and residual DNA.

2024-05-31

AAV Candidate Testing & Selection—A New Solution for Accelerating Vector Design

In silico techniques for generating and screening libraries prior to in vitro testing provides actionable insights, guiding researchers towards candidates with the highest PoS.

2024-08-02

How a Publicly Traded Gene Therapy Company Optimized Construct Designs with FORMsightᴬᴵ

Gene therapies can save lives and revolutionize medicine. But trial-and-error manufacturing consumes precious time and capital, creating risks for companies. Join Form Bio's leaders to learn how AI predicts and optimizes construct design for real-world manufacturing.

2023-05-26

Data Science Meets Life Science

Hear industry experts from NVIDIA, BCG and ElevateBio explore key challenges, opportunities and investment areas for data science and AI in life sciences, along with practical frameworks for successful implementation.

2023-08-02

Explore Google's Advanced Omics AI Models

Join Form Bio & Google for a scientific discussion on pivotal discoveries using some of the most popular Google Cloud Vertex AI-powered workflows.

2024-08-16

Accelerating AAV Vector Development with AI

In this webinar we'll unveil the latest breakthroughs in AI modeling for evaluating and optimizing vector designs to reduce discovery timelines from years to weeks! Discover how Resilience and Form Bio teamed up to apply cutting-edge in silico techniques, accelerating the vector design process, while producing a safer and more manufacturable vector.

2024-09-25

Introducing Form Bio

Join this on-demand webinar to learn about why we started Form Bio and industry-leading team behind the scenes. Then join our Product Manager for a high-level demo of the Form Bio platform.

2022-08-29

Cell and Gene Therapy Manufacturing: Current and Future States

Tune into this webinar and join Form Bio's Head of Solutions Science, Alpha Diallo, PhD and PacBio's Associate Director of Product Marketing, Elizabeth Tseng, PhD to learn about next-gen cell and gene therapy manufacturing.

2022-11-10

Rare Disease Day 2023: The Future of Rare Disease R+D

On Rare Disease Day 2023, Form Bio joined forces with Beyond Batten Disease Foundation for a live discussion on the promise and challenges of rare disease research and development. While the world of novel therapeutics is ever evolving, there are serious hurdles to affecting life-changing care for rare disease families.

2023-02-28

Harnessing HiFi Sequencing & AI for Enhanced Gene Therapy Design

Gene therapy has reached a critical point where precision is paramount. The synergy between HiFi sequencing and AI technology emerges as a transformative tool for characterizing and optimizing AAV quality. It reveals previously invisible issues that could significantly impact the safety, efficacy, and manufacturability of cell and gene therapies.

2023-09-18

Exploring Biological Validation Results for AI-Based in silico Techniques in AAV Gene Therapy Development

The initial lab results are in! Join Form Bio to delve into the latest biological studies, demonstrating how our AI models can accurately predict and optimize vector outcomes.‍This webinar will explore key insights that demonstrate FORMsightAI's performance:Predicting Design Problems Accurately and ReproduciblyGenerating Vector Designs That Reduce Undesirable CharacteristicsGenerating Vector Designs That Increase Desirable CharacteristicsGet a closer look at our 1 billion+ parameter LLM, trained on over 3 trillion nucleotides and how FORMsightAI predicts and optimizes key outcomes of AAV vector design.

2024-08-16

Developing Machine Learning Powered Solutions for Cell and Gene Therapy Candidate Validation

The use of deep learning will make cell and gene therapies more manufacturable, advancing them into a new era of innovation. Learn how.

CRISPRank: A Tool for Determining the Best CRISPR Genome Editing Method

CRISPRank is a novel tool that streamlines genome editing workflows, enabling scientists to quickly find a genome engineering solution that works best for them. Learn more.

Leveraging Model Interpretability Methods to Predict Gene Therapy Manufacturing Failures

We have applied model interpretability methods to deconvolute the cause of gene therapy manufacturing failures. Download this white paper to learn more.

FLAG: Find, Label, Annotate Genomes, a fully automated tool for genome gene structural and functional annotation of highly fragmented non-model species

Learn more about our recent peer review publication describing, FLAG (Find, Label, Annotate Genomes), a fully automated genome annotation workflow that does not require species-specific extrinsic evidence to create highly complete and accurate gene annotations of even highly fragmented genomes.

Improving AAV Manufacturability with AI/ML Simulation to Reduce Genome Truncations

Improve AAV manufacturability with AI/ML in silico techniques to identify the best performing vector design for lead candidates.

AI/ML Simulation is Able to Reliably and Reproducibly predict AAV Genome Truncation

AI simulation can reliably and reproducibly predict AAV genome truncation to help increase production lot yield and lower manufacturing costs.

AI/ML Optimization of Coding Sequences Reduces Genome Truncations in AAV Vectors

AI/ML optimization of the coding sequence (CDS) of a gene-of-interest (GOI) can de-risk AAV manufacturing by reducing partially filled AAV capsids.

Reducing the Risk of Immunogenicity Using an AI/ML Model

AI/ML models can reduce the immunogenicity risk of %CpG islands through sequence optimization, while maintaining a consistent %GC content.

Optimization of the CDS Using an AI/ML Model Outperforms an Open-Source Codon Optimization Tool by Improving Enzymatic Activity by 20%

AI/ML optimization of the coding sequence (CDS) can outperform open-source codon optimization tools by increasing mRNA expression by 24% and increasing enzymatic activity by 20%.

AI/ML Optimization Reduces AAV Discovery Timeline from Years to Days

AI/ML optimization can reduce AAV discovery timelines from years to days, identifying an optimal vector design quickly and resulting in 91% full capsids.