Elliott Firth’s Post

The core achievement of Chai-1 is its ability to predict complex molecular interactions involving proteins, small molecules, DNA, RNA, and even covalent modifications. This comprehensive scope makes it one of the most versatile tools for molecular structure prediction today. @marktechpost

This. Accurately predicting the structure of proteins, DNA, RNA, ligands and more, and how they interact, it will transform our understanding of the biological world and drug discovery.

Utilizing DAP-Seq Service for Comprehensive Identification of TFBS in Whole Genome-Wide: A Simple, High-Throughput and Affordable Approach Determining TFBS (transcription factor binding sites) across the entire genome is critical for understanding regulatory elements and the function of TFs. Though ChIP-Seq (Chromatin immunoprecipitation sequencing) is an effective strategy for identifying in vivo TFBS, its scalability is limited due to its reliance on unique antibodies for each transcription factor, which can be technically difficult and costly. On the other hand, the DAP-Seq (DNA affinity purification sequencing) method serves as a simpler, high-throughput alternative for investigating TF binding to its corresponding target (gDNA) in a chromatin-free environment while preserving crucial information about the primary genome sequence and DNA methylation. The technique does not necessitate specific antibodies or gene-specific primers, making it applicable to all eukaryotes. As a result, DAP-Seq is a powerful tool for studying regulatory elements and TF function. https://lnkd.in/gCpvJCTW

The global DNA RNA Extraction market was valued at US$ 4405 million in 2023 and is anticipated to reach US$ 6412.9 million by 2030 witnessing a CAGR of 6.2% during the forecast period 20242030. #DNAExtraction #RNAExtraction #GeneticResearch #BiotechMarket #PharmaMarket #PersonalizedMedicine #ForensicScience #AcademicResearch #MarketGrowth #GlobalMarket

Chai-1 is a new multi-modal foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of tasks relevant to drug discovery. Chai-1 enables unified prediction of proteins, small molecules, DNA, RNA, covalent modifications, and more. The model achieves a 77% success rate on the PoseBusters benchmark (vs. 76% by AlphaFold3), as well as an Cα LDDT of 0.849 on the CASP15 protein monomer structure prediction set (vs. 0.801 by ESM3-98B) The model is available for free via a web interface, including for commercial applications such as drug discovery.

🎉 Exciting News! 🎉 We are thrilled to announce the launch of our new service, 𝗦𝗖𝗥𝗘𝗘𝗡-𝘀𝗲𝗾! ▶️ 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗦𝗖𝗥𝗘𝗘𝗡-𝘀𝗲𝗾? This innovative method is designed to facilitate transcriptomic phenotyping of thousands of samples, making it an ideal choice for compound screens, drug mode of action studies, and any projects that require high-throughput RNA sequencing. It is exclusively offered as a service at Single Cell Discoveries. ▶️ 𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘄𝗼𝗿𝗸? It is developed in-house by us, based on our existing 3' bulk RNA sequencing chemistry. Our protocol relies on a standardized workflow using multiple robots and automated steps that ensure high-throughput and high-quality results. Our clients send us their samples in 384-well plates, potentially first exposed to a variety of compounds. ▶️ 𝗪𝗵𝘆 𝘀𝗵𝗼𝘂𝗹𝗱 𝗜 𝘂𝘀𝗲 𝗦𝗖𝗥𝗘𝗘𝗡-𝘀𝗲𝗾? Any project that involves a large amount of bulk RNA sequencing samples benefits from SCREEN-seq. It has great compatibility with drug screens or large scale drug mode of action studies, allowing you to obtain transcriptomics data for thousands of compounds in one experiment. 📈Get started with SCREEN-seq, read more here: https://hubs.ly/Q02wlNvh0 📞Or contact us: https://hubs.ly/Q02wlN8B0 #SCREENseq #highthroughput #RNAsequencing #drugscreens #drugdiscovery

In a world full of LLMs Google DeepMind quietly releases a new version of AlphaFold, a model that predicts structure and interactions of all life’s molecules (proteins, DNA, RNA, ligands) with unprecedented accuracy. For the interactions of proteins with other molecule types we see at least a 50% improvement compared with existing prediction methods. https://lnkd.in/dJkNghUY

DNA can do more than encode genetic information! Here we show a strategy to improve the accessibility of DNA catalysts to large RNA targets, such as the genome of SARS-CoV-2, to improve their use in future therapeutics and diagnostics. https://lnkd.in/efA9Zp_i

Single-cell RNA-seq (scRNA-Seq) is a powerful but relatively low-throughput tool to analyze gene expression at the single-cell level. Discover our new MULTI-seq system, developed to multiplex sample types using lipid-modified oligonucleotides (LMOs) complexed with unique DNA sample barcodes, allowing for multiple samples to be pooled together in the same single-cell analysis workflow. Enhance your NGS library construction, reduce workflow costs, and identify artifacts such as cell doublets in single-cell sequencing and single-nucleus sequencing (snRNA-Seq) applications. #alwayscurious

Check out how recombinant DNA can accelerate your research here!