LatchBio’s Post

Did you know that X-Chem is a contributor to the The Structural Genomics Consortium (SGC)'s #Target2035 initiative, an open science global movement focusing on the creation of chemical and biological tools to study human proteins and inform drug discovery? As a pioneer of DNA-encoded chemical library technology, we are generating quality datasets from DEL screens of individual targets, curating the datasets so that they are compatible with machine learning, and through the SGC, posting the data to the public portal “AIRCHECK” for researchers around the world to access and build models with. Target2035 aims to develop a pharmacological modulator for every protein in the human proteome by 2035. While still in its early phase, AIRCHECK is now available: https://aircheck.ai/ #DataScience #MachineLearning #Sustainability #OpenAccess

🌟 Our team excels in harnessing big chemical data! 🧪💻 From small molecule formulas to properties, spectra, and biological activities, we are proficient in: 🔍 Similarity search for bioactive molecules 🧬 Pharmacophore-based modeling & screening 🔁 Bioisosteric replacement 🎨 Generative AI for designing bioactive molecules Whether it's chemical library design or virtual library enumeration, we are at the forefront of innovation in ligand-based drug discovery. Join us in pushing the boundaries of science! 🚀💡 #Cheminformatics #DrugDiscovery #Bioinformatics #ScienceInnovation #ResearchExcellence

For the first day of #AGBT the main question on people minds is the future of the sequencing market. Illumina is clearly the entrenched leader. Ultima Genomics is aiming to compete on the high throughput level against the NovaSeq, while Element Biosciences is pushing against the NextSeq. Both companies are working on very high quality scores of Q60 which is way higher than the standard Q30. These companies are attacking the high quality scores from different angles, but they are a combination of chemistry and informatics. Ultima seems to have overcome their homopolymer issues by using AI and training. It is interesting to think it Ion Torrent by Life Technologies could have properly addressed their homopolymer issues using the compute that is available in 2024 as compared to what they had 10 years ago. For Element, one of the keys to high quality seems to be excluding part of read 2. From analysis of control samples, Element realized that a lot of their errors occur at the beginning of read 2. By simply starting recording the read 2 reads only from base 10, they we able to greatly boost their quality scores. This is a surprisingly simple tweak to improve read quality.

For the first day of #AGBT the main question on people minds is the future of the sequencing market. Illumina is clearly the entrenched leader. Ultima Genomics is aiming to compete on the high throughput level against the NovaSeq, while Element Biosciences is pushing against the NextSeq. Both companies are working on very high quality scores of Q60 which is way higher than the standard Q30. These companies are attacking the high quality scores from different angles, but they are a combination of chemistry and informatics. Ultima seems to have overcome their homopolymer issues by using AI and training. It is interesting to think it Ion Torrent could have properly addressed their homopolymer issues using the compute that is available in 2024 as compared to what they had 10 years ago. For Element, one of the keys to high quality seems to be excluding part of read 2. From analysis of control samples, Element realized that a lot of their errors occur at the beginning of read 2. By simply starting recording the read 2 reads only from base 10, they we able to greatly boost their quality scores. This is a surprisingly simple tweak to improve read quality.

🚀 I'm excited to share my latest blog post titled "AI-Directed Evolution: Redefining the Boundaries of Protein Design!" In this post, we delve into how AI, particularly through machine learning techniques, is revolutionizing directed evolution in protein engineering. 🧬✨ 🔍 Discover how these advancements are not only enhancing efficiency and scalability but also enabling researchers to explore vast protein sequence spaces. This means designing proteins with unprecedented properties that could lead to breakthroughs in fields like biotechnology, medicine, and environmental science. Join me as we explore the future of protein design and the immense potential of AI in this transformative journey! #ai #bioinformatics #proteinengineering #ml #drugdiscovery #deeplearning

Please read about Eurofins Discovery's new AI-Powered ADME Property Prediction Tool, SAFIRE, and use the link to try it yourself!

Prioritize the synthesis of compounds predicted to have good ADMET Properties and leave the rest! Read about Eurofins Discovery's new AI-Powered ADME Property Prediction Tool, SAFIRE in this recent publication: https://lnkd.in/gwMhD4W4 And try the tool yourself: https://lnkd.in/gFNdSNZC

Last month's Foundational Models webinar was our most successful webinar so far with many people joining and engaging with lots of interesting questions. The number one request we got was to better understand which models are best suited for specific use cases. So, we decided to do a webinar specific to this topic! Join us for our upcoming webinar, “Mapping Foundational Models to Use Cases in Biotech and Pharma”, presented by our in-house AI experts, Daniel and Dror. Here is what they will cover: 🔹 Most promising foundational models for biotech and pharma today 🔹 How to categorize these models into various biologically compelling categories 🔹 Data and compute requirements for each application More details below 👇 https://lnkd.in/dYhPYiFW #bioinformatics #dataanalytics #biotech #computational

PandaOmics provides a unique opportunity to both explore the unknown of #OMICs data and interpret it in the context of all the #scientific data generated by the scientific community. Sophisticated #artificialintelligence algorithms suggest viable hypotheses of novel drug targets, reducing required time from several months to the span of just a few clicks. Book a demo with our team and start exploring today: https://bit.ly/3MnyeLj

Creating ground breaking lead-like #molecules in a matter of weeks has transitioned from a complex endeavor to an effortless pursuit. The intricate task of predicting their properties and navigating novel chemical territories has been streamlined to the point where it's as simple as a few clicks. With this AI first approach, researchers can swiftly explore uncharted realms of #drugdiscovery, unlocking new possibilities. Try #Boltchem now for enhanced #moleculardocking, ligand based #Pharmacophore hypothesis & screening, #MDS with #OpenMM and much more.