AI-Driven Antibiotic Discovery: A Breakthrough in Combating Drug-Resistant Infections
A groundbreaking study conducted by scientists from MIT and McMaster University has unveiled a revolutionary artificial intelligence-based antibiotic that effectively eliminates a specific strain...
Empowering Scientists with MISATO: a Machine Learning Dataset for Structure-based Drug...
Artificial intelligence (AI) has significantly changed the scientific research landscape in recent years, yet structure-based drug development has not been significantly affected. However, a...
Decoding the DNA Repair Network: Insights from a Novel Multi-scale DNA...
A team of UCSF, UCSD, and Brown University scientists has produced a multi-scale map of protein assemblies pertaining to damage response. The DNA Damage...
AlphaFold’s Impact on Drug Discovery: A Closer Look at How Accurately...
In recent years, significant advancements in machine learning, particularly AlphaFold 2 (AF2), have revolutionized protein structure prediction. These breakthroughs have generated excitement in the...
Meet IRIS: The Innovative Computational Tool for Identifying De Novo Cancer Immunotherapy Targets...
Scientists from CHOP, Philadelphia, and UCLA have developed an integrated computational workflow to discover novel cancer immunotherapy targets from pre-mRNA alternative splicing (AS). The...
Meet Genomics to Notebook (g2nb): A Comprehensive Notebook Solution to Tackle...
Genomics to Notebook (g2nb) is a new environment that combines the popular JupyterLab notebook system with well-established bioinformatics platforms to provide a seamless and...
Unleashing the Potential of AI: Breakthroughs in Gene Activation Research and...
Artificial intelligence nowadays dominates our news feeds, capturing public interest as ChatGPT and similar AI advancements take center stage. Biologists are actively investigating novel...
Simulation Tools Shape the Landscape of New Generation Gene Silencing Therapies
A consortium of scientists from across the globe has undertaken a massive computational effort to produce predictive models on the effect of phosphorothioate (PS)...
Enhancing Mortality Risk Prediction in Cardiac Surgery: The Impact of Machine...
Mount Sinai researchers have developed a machine learning algorithm that allows healthcare facilities to forecast the chance of death for specific patients undergoing cardiac...
Fast and Accurate Imaging of Proteins in Cells with TomoTwin: A...
Scientists from the Max Planck Institute of Molecular Physiology, Germany, have developed a method, TomoTwin, an open-source general picking model for cryogenic-electron tomograms. The...
A New Era of Healthcare: Discover the Potential of Smartwatches in...
The University of Queensland researchers have developed a comprehensive plan outlining the integration of smartwatches into Australia's healthcare system. However, the researchers agree that...
Meet Foldseek: A High-Performance Deep Learning Approach for Fast and Accurate...
Scientists from Seoul National University, South Korea, and the Max Planck Institute for Multidisciplinary Sciences, Germany, have developed a deep learning-based method called Foldseek,...
Jumping Genes Could Transform Cancer Treatment with Innovative Immunotherapies
The genetic mechanisms underlying cancer have been the focus of research by scientists and medical professionals worldwide. The human genome has undergone random insertions...
AI-Driven 3D Modeling Sheds Light on ‘Postal Workers’ within Human Cells
Artificial intelligence (AI) and cellular biology have combined to change several sectors, including the mapping and monitoring of cellular activity within the human body,...
Machine Learning-aided Auditory Categorization Model Decodes How Brains Recognize Communication Sounds
Neuroscientists from the University of Pittsburgh extend a previously developed hierarchical model of auditory categorization by including several adaptive neural mechanisms that aid auditory...
Meet Trumpet: The Biocomputing Platform Set to Transform Medicine
The emerging field of biocomputing holds immense promise for transforming both the realms of computing and medicine. With its potential applications ranging from early...
Improving Protein Binder Design: A Tenfold Leap with Deep Learning
Scientists from the University of Washington, USA, studied how deep learning boosts and improves de novo protein binder design and devised a protocol for...
Google Unveils REMEDIS: A Self-Supervised Learning Approach for Robust and Enhanced...
Recent achievements in the field of artificial intelligence (AI) have helped to develop effective medical imaging frameworks that can achieve professional clinical expertise. However,...
Transcriptome-Wide Prediction of Chemical Messenger RNA Modifications: A Novel Approach Using...
Machine learning-based methods have played a significant role in detecting RNA modifications. The advent of new high-throughput experimental and computational techniques has propelled the...
Discover How Single-cell RNA Sequencing is Transforming the Drug Discovery and...
The primary objective of modern proteomics studies is to analyze and isolate the proteome of individual cells from a pool of similar cells. Existing...
Revolutionizing Fragment-based Drug Discovery: An Automated, Open-Source Workflow for Generating 3D...
Scientists from Amsterdam, Netherlands, have developed an automated and open-source workflow for the design of 3D fragment libraries in the KNIME software. Fragment-based drug...
Meet OrthoVenn3: A Powerful, Web-based Platform for Analyzing and Visualizing Orthologous...
Recent developments in comparative genomics studies, along with the availability of cutting-edge computational tools, have revived the study of evolutionary biology and genetics in...
Meet scGPT: A Cutting-edge Foundation Model for Single-cell Multiomics using Generative...
Scientists from the University of Toronto, Canada, have developed a foundation model for single-cell analysis, scGPT, by generative pre-training on over ten million cells....
Broad’s Scientist Introduce a Machine Learning Model to Identify Genetic Factors...
Using the heart as an investigational model, scientists at the Broad Institute of MIT and Harvard have designed an autoencoder-based machine-learning pipeline that can...
Deep Learning Aided Image-Based Plant Phenotyping: A Benchmarking Study of Self-Supervised...
Scientists from the University of Saskatchewan, Canada, have performed a benchmarking analysis of the self-supervised contrastive learning methods used in image-based plant phenotyping. Plant...
De Novo Protein Interaction Design from Protein Surface Fingerprints using a...
The molecular surface of a protein is represented in the form of geometric and chemical attributes that create the unique fingerprint for identifying protein...
Reshaping the Process of Drug Discovery: The Power of AI and...
Scientists from the University of Southern California, USA, shed light on the computational approaches that are transforming the drug discovery process from computer-aided to...
Meet MitoTNT: A Novel Approach for Tracking Mitochondrial Temporal Network in...
Advancements in fluorescence microscopy-based imaging techniques have made it possible for researchers to view and analyze mitochondrial networks in 4D. Researchers at UCSD have...
Streamlining Single-Cell RNA-Seq Analysis with OpenAI’s GPT-4: Reference-Free and Affordable Automated...
Scientists from Columbia University, New York, have reported the possibility of automated cell type annotation in single-cell RNA seq (scRNA-seq) analysis using GPT-4, a...
Bridging the Gap Between Proteomics and Systems Biology with ProInfer: A...
Protein identification has gained much importance over the last few years. In the shotgun proteomics-based approach, peptide fragments are used to identify proteins. The...
New Insights into the Etiologies of Early-Onset Colorectal Cancer Through an...
There is a growing number of incidences of colorectal cancer in people under the age of 50 (EOCRC), but the intrinsic molecular mechanisms underpinning...
Accurate Prediction of Protein Binding Interfaces with PeSTo: A Parameter-free Geometric...
Advancement in the field of genome sequencing has seen an increase in the amount of sequence data. In spite of that knowledge regarding the...
Meet MF-PCBA: Multi-fidelity High-Throughput Screening Benchmarks for Drug Discovery and ML
Scientists from the University of Cambridge present Multifideity PubChem Bioassay, MF-PCBA, a collection of 60 molecular datasets with multiple modalities, reflecting the real-world nature...
New Study Reveals Extensive Person-to-Person Gut and Oral Microbiome Transmission Landscape
The human microbiome is an essential aspect of the human body and could be responsible for several health conditions. Yet, much of microbiome transmission...
Long-Term Protection from COVID-19: The Promise of T-Cell Vaccines Designed using...
Scientists from Denmark and Pennsylvania have developed a machine learning-based platform, RAVEN, that is able to design T-cell vaccines for COVID-19. These vaccines are...
Pediatric Rare Disease Diagnosis using Trio RNA Sequencing
The RNA-Seq (RNA sequencing) program at The Hospital for Sick Children (SickKids) is focused on developing new tools for Pediatric Rare Disease research. Their clinically...
Transforming Drug Discovery with BEAR: A New Virtual Screening Approach Utilizing...
Data-driven drug discovery provides an effective path for drug development using large bioassay datasets containing the bioactivity profiles of millions of compounds. Recently, researchers...
Deep Learning on Retinal Images: Google’s Aging Clock ‘eyeAge’ Unlocks the...
Google scientists have developed a novel aging clock based on retinal images using deep learning techniques called "eyeAge." The biological clock is often said...
Unleashing the Power of OpenAI’s ChatGPT for Solving Bioinformatics Programming Tasks
Computer programming is crucial for life scientists, as it enables them to perform many essential research tasks. However, learning to code can be challenging...
Google Introduces Med-PaLM 2: An AI-based Medical Language Model for Comprehensive...
Google has made significant advancements in the field of AI-based medical technology with the launch of Med-PaLM 2, a limited-access tool that utilizes the...
EMBL-EBI Researchers Develop a Phylogenetic Tool ‘MAPLE’ to Uncover Insights from...
The rapid influx of large genomic data during the recent pandemic caused by COVID-19 constrained the researcher's ability to analyze vast microbial genomes at...
Tracking Gene Expression Changes in Single Cells over Time and Space...
Scientists from the Broad Institute of MIT and Harvard have developed TEMPOmap, a method that unravels subcellular RNA profiles spatiotemporally at the single-cell level....
Uncovering Biological Applications of Julia: A Programming Language with Incredible Speed,...
As researchers gather increasingly complex and extensive data, it is also becoming increasingly difficult to accurately and efficiently process and analyze everything. Julia, a...
Extracting Specific and Sensitive Biomarkers from Massive Microbial Genomic Datasets with...
Shine is a computational approach for extracting distinct, well-conserved biomarkers from a large dataset of the microbial genome. The method has been clinically tested...
Single-cell Based AI Pathologist for Rapid Physical Phenotyping of Cancer Biopsies
Scientists from the Max Planck Institute for the Science of Light, Germany, have developed a novel methodology for rapid pathological analysis of cells from...
Efficiently Identifying Bispecific Antibodies using High Throughput Single-cell BsAb Discovery Pipeline
Bispecific antibodies (BsAbs) are an emerging type of immunotherapy and have great potential to treat various diseases. Recently, researchers have developed a novel single-cell...
Overcoming Challenges in Detecting and Quantifying Splicing Variations in Large RNAseq...
Scientists from UPenn have developed a suite of tools and algorithms for analyzing heterogeneous and large RNAseq datasets for detecting, quantifying, and visualizing the...
KCL Researchers Develop DNAscan2: A Highly Flexible, End-to-End Pipeline for NGS...
Next-generation sequencing (NGS) is becoming increasingly accessible and affordable, illustrating its growing importance and adoption in the field of clinical and biomedical genetics. To...
Transforming Functional Genomics Research using EN-TEx: A Resource of Multi-tissue Epigenomes...
Recently, a paper published on Cell reports the EN-TEx, a system/project that challenges conventional functional genomics research by providing a comprehensive resource that goes...
Recent Research Unveils New Genomic Landscape of the Human Gut Microbiome
Scientists from BGI-Research developed a new version of the Cultivated Genome Reference (CGR), a repository of high-quality draft genomes of the human gut microbiome....
Must Read
How Does NeuralPLexer3 Combine Physics and Machine Learning for Superior Biomolecular Predictions?
The quest to understand biomolecular interactions is central to advancing drug discovery, molecular biology, and bioengineering. A significant step in this journey is accurately...
FedPyDESeq2: Advancing Differential Expression Analysis with Federated Learning for Bulk RNA-Seq
In genomics, the conventional approach for explaining any gene expression is to cross-analyze bulk RNA sequencing (RNA-seq) data. However, as researchers, more often than...
Decoding Protein Roles with ProCyon: A Unified Framework for Multiscale Phenotypes
About 20% of human proteins lack recognized functionalities, and over 40% lack context-specific functionals, underscoring the difficulties of comprehending these proteins and their varied...
Streamlining Copy Number Variation Discovery: How CNV-Finder is Changing Genomics
A prevailing challenge in genomics still revolves around the comprehension of structural variants, one of which is copy number variation (CNV). To undertake the...
Unlocking Protein Design with PLAID: A Sequence-Centric Generative Model for All-Atom Structures
The potential influence of generative models for protein design is drawing the attention of the scientific world. However, there are numerous modalities that mediate...