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Revolutionizing Drug Discovery with ChemGLaM: Chemical-Genomics Language Models for Compound-Protein Interaction Prediction

Compound-protein interaction (CPI) prediction accuracy is crucial for drug discovery. Creating deep learning models that can be applied broadly requires expanding the CPI data...

OpenFold Unveils SoloSeq and OpenFold-Multimer: Advancing AI in Protein Structure Analysis

OpenFold, an artificial intelligence (AI) research consortium, has announced the release of two new tools that aim to improve protein structure prediction: SoloSeq and...

Accelerating Cancer Research: MuSiCal Offers Accurate and Sensitive Mutational Signature Analysis

Cancer is a complex disease. It is brought on by the accumulation of several gene alterations. Understanding the patterns of these alterations, or mutational...

Unveiling DeepGO-SE: Advancing Protein Function Prediction Leveraging Language Models and GO Knowledge

Gene Ontology is an axiomatic theory that describes the molecular roles, biological processes, and cellular placements of proteins using more than 100,000 axioms. Learning...

Meet DNABERT-S: Illuminating Genomic Diversity through Species-Aware DNA Embeddings

For scientists studying the functions of the genome, DNA embedding is a vital tool. Effective investigations like species categorization and metagenomics binning are made...

A Novel GNN Model ‘PathFormer’ Revolutionizes Highly Accurate Disease Diagnosis and Reproducible Biomarker Identification

When analyzing omics data, regression analysis is an essential tool for identifying biomarkers. For the analysis of graph-structured data, graph neural networks (GNNs) are...

University of Michigan Researchers Discover Novel Plant Protein Fold with Potential for Anti-Cancer Drugs

Researchers from the University of Michigan have reported the discovery of a new plant protein fold that catalyzes the formation of macrocyclic peptides through...

Meet Proteus: Transforming the Landscape of Protein Design with Innovation and Efficiency

Proteins perform essential functions in living organisms and adopt specific three-dimensional structures dictated by their amino acid sequences. The ability to accurately design novel...

DANCE Unveils Hidden Depths of Protein Movement, Paving the Way for Better Drug Design

One must understand proteins' structural flexibility in-depth to comprehend their role in biological processes and functional systems. It is still challenging to predict various...

Beyond One-Size-Fits-All: Moffitt Unveils First Individualized Predictive Model for the Treatment of Multiple Myeloma

Patients with recently diagnosed non-differentiated multiple myeloma (NDMM) have a wide range of outcomes, with overall survival (OS) spanning from several months to more...

Unlocking the Potential of RNA Design with Generative AI using GenerRNA

A team of researchers from the University of Tokyo developed GenerRNA, the first large-scale pre-trained AI model for automated RNA design that does not...

GPCR-BERT: Revolutionizing GPCR Research with Protein Language Models

Recent advances in large language models (LLMs) and transformers have opened new possibilities for modeling protein sequences as language. Carnegie Mellon University researchers have...

tFold Unveiled: A Swift and Accurate Approach to Antibody-Antigen Complex Modeling and Design

The soldiers of our immune system, antibodies, bind to specific targets like viruses and toxins and neutralize them. Predicting antibody-antigen complex structures accurately has...

Choosing the Best Tool for Identifying Transcriptional Regulators: Navigating the NGS Landscape

This article delves into a recent study undertaken by a team of researchers that examined multiple computer algorithms for transcriptional regulator prediction using Next-Generation...

Unveiling the Power of Deep Learning: A Comprehensive Benchmark of Tertiary RNA Structure Prediction Methods

Before understanding RNA biology, one must grasp the three-dimensional structure of RNA. Because experimental procedures require a lot of labor and money, computer approaches...

Making AI-Driven Structural Biology Accessible with Foldy

Recent breakthroughs in AI-based protein structure prediction have enormous potential to accelerate discoveries across the life sciences. However, major barriers persist in making these...

MarkerGeneBERT: Revolutionizing Cell Marker Extraction Utilizing Natural Language Processing

MarkerGeneBERT, a natural language processing (NLP) system to automatically extract cell type markers from single-cell sequencing literature by parsing full text, was recently introduced...

CombFold: Advancing Structure Prediction of Large Protein Assemblies with Combinatorial Algorithms and AlphaFold2

Deep learning models like RosettaFold and AlphaFold2 can predict protein structure with high accuracy; however, they still have difficulties when it comes to intricate...

Unleashing nanoBERT: Revolutionizing Nanobody Therapeutics with Deep Learning

Scientists from the University of Southern Denmark, NaturalAntibody and Alector Therapeutics unveil nanoBERT, a nanobody-specific transformer designed to predict amino acids in specific positions...

UChicago Scientists Crack the Code of HIV Entry into the Nucleus of the Cell: Could it Lead to New Treatment Strategies?

In a major scientific breakthrough, researchers at the University of Chicago have succeeded in creating a comprehensive model of the nuclear pore complex with...

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Unveiling Flexiplex: A New Tool for Demultiplexing and Sequence Searching in Omics Datasets

Unveiling Flexiplex: A Versatile and Fast Demultiplexing and Sequence Searching Tool for Omics Data

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Omics datasets generated by high throughput sequencing contain vast amounts of nucleotide data that must be analyzed to extract meaningful biological insights. A common...
NIH's All of Us Research Program Unveils 275 Million New Genetic Variants, Boosting Precision Medicine Efforts

NIH’s All of Us Research Program Unveils 275 Million New Genetic Variants, Boosting Precision...

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The All of Us Research Program, with its ambitious objective of creating a diverse cohort of one million volunteers and making their data available...
Cracking the Code of Drug-Drug Interaction: DDIPrompt Unlocks a World of Safer Treatments

Cracking the Code of Drug-Drug Interaction: DDIPrompt Unlocks a World of Safer Treatments

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Adverse drug-drug interactions (DDIs) pose a major health risk when using drug combinations to treat complex diseases. However, predicting harmful DDIs is extremely challenging...
AlphaFind: A New Frontier in Proteomic Exploration

AlphaFind: A New Frontier in Proteomic Exploration

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Effective structure-based search tools are necessary to efficiently organize the massive volume of data in the database. Novel tools like FoldSeek and 3D-surfer have...
Improving Patient Care: The Role of Large Language Models in Doctors' Notes Analysis

Improving Patient Care: The Role of Large Language Models in Doctors’ Notes Analysis

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The digitization of health records has enabled powerful AI techniques to extract key medical insights from the vast trove of unstructured clinical notes. However,...