Proteins serve as the workhorses of living organisms, orchestrating a wide array of vital functions. Post-translational modifications (PTMs) of their amino acids greatly influence the structural and...

New faculty member Pranam Chatterjee uses AI to design proteins that promote, preserve and prolong reproductive health

We resolve difficulties in training and sampling from a discrete generative model by learning a smoothed energy function, sampling from the smoothed data manifold with Langevin Markov chain Monte...

Designing binders to target undruggable proteins presents a formidable challenge in drug discovery, requiring innovative approaches to overcome the lack of putative binding sites. Recently, generat...

Target proteins that lack accessible binding pockets and conformational stability have posed increasing challenges for drug development. Induced proximity strategies, such as PROTACs and molecular...

Therapeutic modalities targeting pathogenic proteins are the gold standard of treatment for multiple disease indications. Unfortunately, a significant portion of these proteins are considered...

Denoising Diffusion Probabilistic Models (DDPMs) have emerged as a potent class of generative models, demonstrating exemplary performance across diverse AI domains such as computer vision and natural...

We integrate deep learning and protein design to generate programmable platforms for genome, proteome, and cell engineering.

Communications Biology - SaLT&PepPr is a protein language model that isolates peptidic motifs from the binding interfaces of target-interacting partner sequences. These peptides are fused...

Structured RNA lies at the heart of many central biological processes, from gene expression to catalysis. While advances in deep learning enable the prediction of accurate protein structural models,...

An in vitro model of human ovarian follicles would greatly benefit the study of female reproduction. Ovarian development requires the combination of germ cells and their supporting somatic cells,...

Making human stem cells express certain transcription factors can convert them into cells that are similar to ovarian granulosa cells, and perform several important functions of the ovary.

Germ cells are the vehicle of human reproduction, arising early in embryonic development and developing throughout adult life until menopause onset in women. Primordial germ cells are the common...

Computation or deep learning-based functional protein generation methods address the urgent demand for novel biocatalysts, allowing for precise tailoring of functionalities to meet specific require...

Target proteins that lack accessible binding pockets and conformational stability have posed increasing challenges for drug development. Induced proximity strategies, such as PROTACs and molecular...

Aptamers are single-strand nucleic acid ligands, featuring high affinity and specificity to target molecules. Traditionally they are identified from large DNA/RNA libraries using in vitro methods,...

Here, we integrate fine-tuned protein language models and protein-protein interaction databases to develop a Structure-agnostic Language Transformer & Peptide Prioritization module that efficiently...

Nature Communications - Protospacer adjacent motif (PAM) requirements limit the target range of CRISPR endonucleases. Here, the authors graft the 5$$^{\prime}$$ ′-NAAN-3$$^{\prime}$$ ′...

Pranam Chatterjee will explore how to degrade a key protein that causes Alexander Disease

Determining the structure of proteins has been a long-standing goal in biology. Language models have been recently deployed to capture the evolutionary semantics of protein sequences. Enriched with...

Advanced Artificial Intelligence (AI) enabled large language models (LLMs) to revolutionize Natural Language Processing (NLP). Their adaptation to protein sequences spawned the development of...

Integrating synthetic coevolution and machine learning enables prediction of remodeled protein-protein interfaces.

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Try datamol.io - the open source toolkit that simplifies molecular processing and featurization workflows for machine learning scientists working in drug dis...

Computationally validated peptide beacons integrated on mini-TIRF microscopes detect SARS-CoV-2 with femtomolar sensitivity.

Biotech startup Gameto is trying to boosting the odds of success in IVF by creating support cells designed to help eggs mature outside the body.

Nature - RNA sensing-mediated payload expression provides a specific, versatile, simple and generalizable means of detecting and manipulating animal cells with broad potential applications.

Nature Machine Intelligence - Transformer models are gaining increasing popularity in modelling natural language as they can produce human-sounding text by iteratively predicting the next word in a...

The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has elicited a global health crisis of catastrophic proportions. With no approved cure or vaccine currently available, there is a...

Oligonucleotide-guided nucleases (OGNs) have enabled rapid advances in precision genome engineering. Though much effort has gone into characterizing and mitigating mismatch tolerance for the most...

Researchers from Harvard say they have made a potentially game-changing discovery.