PipeBio (now Benchling)

Building cloud-based bioinformatics software for antibody discovery and engineering. Now a part of @Benchling.

[PipeBio (now Benchling) @pipe_bio]

🎉 We’re excited to announce that @benchling has acquired PipeBio!

Together with Benchling, we’ll continue delivering innovation in bioinformatics for biologics discovery and more — on an open digital platform that’s connected to the rest of your R&D.

https://t.co/mtHL6eCzym

[Benchling @benchling]

It’s Times Square official! This week, we announced our acquisition of @pipe_bio. 🙌

Together, we will offer a complete software stack for end-to-end antibody discovery and development. https://t.co/32QLCq3Jor

Thanks @Nasdaq for helping us celebrate!

[PipeBio (now Benchling) @pipe_bio]

In collaboration with @Bruker Cellular Analysis, we have analyzed data from a study to detect antigen-specific and cross-reactive antibodies against vascular endothelial growth factor receptor (VEGFR) antigens in an immunized mouse.

Read more here👇
https://t.co/vgvtss1R3E

[PipeBio (now Benchling) @pipe_bio]

Understanding vaccine responses and designing effective vaccines relies on high-resolution immune profiling and antibody repertoire analysis using NGS. Check out the link below to learn more!🔬🧫🧬

https://t.co/3QaMiv9OSW

#antibody #vaccines #bioinformatics

[PipeBio (now Benchling) @pipe_bio]

In case you missed it! We saw a total of 16 global first approvals and 10 FDA/EMA first approvals of therapeutic antibodies in 2023 (slightly fewer than in 2022).

See full infographic here:
https://t.co/hevQwL31Wa

[PipeBio (now Benchling) @pipe_bio]

What is antibody developability, how is it quantified and how can it be predicted?‍🔬🤖

Read more about silico predictors leveraging machine learning to make the discovery process faster and leaner:
https://t.co/CdkvQTTVBn

#antibody #ML #drugdiscovery

[PipeBio (now Benchling) @pipe_bio]

How can you use public antibody data to accelerate antibody discovery and engineering?

Read more about data mining in antibody development here👇
https://t.co/FjWcEMlF8K

#antibody #data #engineering

[PipeBio (now Benchling) @pipe_bio]

Native pairing of antibody heavy-light chains is important for retaining functional antibodies, a challenge with short-read NGS.
Read more on our blog on techniques and protocols used for retaining native pairing using NGS👇

https://t.co/n3tr1IgPmw

#ngs #antibody #drugdiscovery

[PipeBio (now Benchling) @pipe_bio]

Sanger sequencing. Still widely used today, we can be thankful for Frederick Sanger's (1970s!) contribution and what it has enabled over the years. In case you have Sanger sequences to analyze..👇

https://t.co/FZVoHUiRtS

Happy Thanksgiving everyone! 🦃

#Sanger #antibody

[PipeBio (now Benchling) @pipe_bio]

Next stop on the trail is Lisbon as we're running into PEGS Europe in little over a week!

Looking forward to some great talks (and good runs👟) over there!

#PEGSEurope #Antibody #Athletes

[PipeBio (now Benchling) @pipe_bio]

Wishing everyone a very spooky Halloween!🎃👻

#science #halloweencostumes #halloween

[PipeBio (now Benchling) @pipe_bio]

How can you use UMIs to mitigate errors in Antibody / TCR sequencing?

Read more on correcting errors and biases that arise from PCR amplification and sequencing to differentiate "real" clones and true biological diversity.
https://t.co/zGChxSRCU9

#UMIs #Immunology #NGS

[PipeBio (now Benchling) @pipe_bio]

Rational design and in silico tools together with in vitro validation are some of the hallmark techniques used to select developable antibodies with optimized properties for specific therapeutic targets 👇
https://t.co/qVu9modEYg

#antibodydiscovery #drugdiscovery

[PipeBio (now Benchling) @pipe_bio]

What do these images have in common?

PipeBio – and the passion for science that unites our team!👩‍🔬🔬

Our distinct backgrounds ranging from wet labs to computer engineering make us a strong team and empowers us to find solutions for our customers, fast.
https://t.co/M47QrmmDe1

[PipeBio (now Benchling) @pipe_bio]

Early detection of liabilities for developability such as aggregation is quintessential in antibody discovery. See our blog for an overview of a range of tools for antibody aggregation prediction🖥️‍🔬

https://t.co/wMTeVxrlig

#antibody #drugdiscovery

[PipeBio (now Benchling) @pipe_bio]

Circling back to the origins of our logo, we (finally!) got around to implementing the Circos plot ⭕

Great for interactive visualization of larger repertoires, heavy/light or alpha/beta pairings, gene usage and more🙂

#antibody #visualization #Circos

[PipeBio (now Benchling) @pipe_bio]

When you can do something, why wouldn't you?🤷

We at least like trying out ALL possible features 😉

#antibody #phylogeny #drugdiscovery

[PipeBio (now Benchling) @pipe_bio]

Here's a short weekend read on some of the most common cloning techniques used in antibody discovery and engineering🦠👇

https://t.co/aMVH7j1kqM

#antibody #cloning #drugdevelopment

[PipeBio (now Benchling) @pipe_bio]

The most prominent in vitro display technologies in #antibody discovery and engineering arguably include phage display, yeast display, mammalian display, bacterial display and ribosome display🔬

Here's a short read on our blog: https://t.co/aWk71R55nn

#biologics #drugdiscovery

[PipeBio (now Benchling) @pipe_bio]

An overview of one of the hallmark in vitro selection technologies used for antibody discovery: Phage Display👇

(adapted from Ledsgaard et al. 2022, full ref. see bottom of graphic)

#phage #biologics #drugdiscovery #antibody #antibodydiscovery #drugdevelopment #antibodies