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3Dmapper: A New Tool for Mapping Genetic Variants to Protein Structures at BioBank Scale

Centuries after the first proteins were identified and characterized, their complexity proves a challenge for scientists all over the world. Their creation, evolution, and...

PeptideBERT: A Transformer-based Language Model for Predicting Peptide Properties using Amino Acid Sequences

Scientists at Carnegie Mellon University, USA, introduced PeptideBERT, a language model that is capable of predicting the properties of proteins and peptides solely based...

Deep Learning Powers New Methods for Protein Remote Homology Detection and Structural Alignment

Comprehending sequence–structure–function relationships is challenging for proteins with low similarity to existing proteins. New and improved alignment approaches are required for such proteins to...

Meet BARNACLE: A New Tool to Predict RNA Contacts using Data Efficient Deep Learning

In the pursuit of understanding how RNA structure and function are related, predicting RNA structures becomes a tool alongside experimental approaches. However, the limited...

Meet HighFold: An AlphaFold-based Algorithm to Predict Cyclic Peptide Monomers and Complexes with Precision

Cyclic peptides represent an emerging class of drugs that combine the advantageous attributes of small molecules with those of antibodies or protein-based therapeutics. Scientists...

Meet XVir: A Promising Transformer-based Approach to Spot Viral Reads in Human Cancer Samples

A team of researchers at The University of Texas at Austin developed a novel algorithm, XVir, that combines deep learning methods and transformers to...

Large Language Models Offering Solutions to Tackle Biological Complexity

Large Language Models (LLMs) have emerged as dynamic tools with the ability to transform the landscape of biological research in a world driven by...

Meet Flow: An Ultimate Bioinformatics Data Analysis and Management Solution

Scientists at King's College London, UK, and collaborators have introduced 'Flow,' an open-access web platform to perform bioinformatics analysis. Flow provides the capability to...

ChatGPT Empowers Clinical Decision Making with Impressive Accuracy

The large-language model (LLM)-based model, ChatGPT, had its clinical decision-making abilities put to the test in a joint study by researchers from Harvard Medical...

Revolutionizing Parkinson’s Care: Harnessing Artificial Intelligence to Detect Disease Severity at Home

A team of researchers has recently developed an Artificial Intelligence (AI) based model for detecting the severity of the disease's progression and its symptoms...

Oxford Researchers Develop a Machine Learning Model to Predict 10-Year Breast Cancer Mortality Risk

A group of researchers affiliated with Oxford University, UK, have developed a prognostic model backed by the most extensive information set spanning a national,...

Meet FateMap: A Barcoding Approach to Decode Why Certain Cells Resist Anti-Cancer Therapies

A collaborative research effort led by scientists and engineers at the University of Pennsylvania and Northwestern University led to the development of FateMap, a...

Decoding Thoughts into Words: A Breakthrough Brain-Computer Interface Lets Paralyzed Woman Speak via Neural Signals

In a groundbreaking advancement, researchers from Stanford University have developed a speech brain-computer interface (BCI) that holds significant promise for individuals with paralysis. By...

From Algorithms to Antibiotics: Harnessing Artificial Intelligence in the Search for Antimicrobial Peptides

Faculties of the Mathematics Department at the University of Warsaw, Poland, have presented a review of the past two years progress of Artificial Intelligence...

Scientists Assemble the First Complete Human Y Chromosome Sequence: A Milestone in Genomics Research

The sequencing and assembly of the human Y chromosome have been challenging due to its intricate repeat structure, which encompasses lengthy palindromes, tandem repeats,...

Unveiling Cellular Secrets: Visualizing Dynamic Biomolecular Machinery with CryoDRGN-ET

The advancement of cryo-electron tomography (cryo-ET) has opened novel avenues for visualizing the intricate structures of dynamic macromolecular assemblies within their natural cellular surroundings....

AI’s Quantum Leap into Bioengineering: Unleashing Language Models in Atom-by-Atom Protein Generation

The University of Toronto researchers have explored the potential of Chemical Language Models (CLMs) to thrive as Biological Learning Models. In contrast to popular...

Stanford’s GEARS: An Innovative Approach to Predicting Transcriptional Outcomes of Multigene Perturbation

Understanding cellular responses to genetic changes holds vital importance in various biomedical contexts, such as uncovering cancer-related genetic interactions and advancing regenerative medicine. However,...

Meet DeepTracer-Refine: An Automated Refinement Approach for AlphaFold2 Predicted Protein Structures

Scientists of the DeepTracer project have formulated DeepTracer-refine, an automated pipeline that consolidates the advantages of sequence-to-model and map-to-model strategies, complements their shortcomings, and...

Meet OpenFold: Reimplementing AlphaFold2 to Illuminate Its Learning Mechanisms and Generalization

Columbia University and Harvard University researchers have developed OpenFold—a swift, memory-efficient, trainable AlphaFold2 implementation. They aimed to address the shortcomings of the revolutionary AlphaFold2,...

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Bioinformatics Analysis Made Easy with a New Tool AutoBA

Meet AutoBA: A New Tool Making Bioinformatics Analysis Easy

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Recent advancements in technology have now made it feasible for scientific researchers to be able to collect large amounts of biological data using a...
CodonBERT: A New Large Language Model Could Help Design Optimized mRNA Vaccines and Therapeutics

CodonBERT: A New Large Language Model Could Help Design Optimized mRNA Vaccines and Therapeutics

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A team of researchers at Digital R&D, Sanofi, USA, developed CodonBERT, a transformer-based large language model that is used for performing tasks related to...
Large Language Models Meet Single-Cell Transcriptomics: Unlocking Biological Insights with Cell2Sentence

Large Language Models Meet Single Cell Transcriptomics: Unlocking Biological Insights with Cell2Sentence

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Large language models, such as GPT (Generative Pre-trained Transformer), have showcased remarkable proficiency in various natural language processing tasks. Their ability to understand and...
the Link Between Stroke and Depression

Machine Learning Predicts Mood in Chronic Stroke Patients and Identifies the Link Between Stroke...

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Stanford's scientists used Machine Learning to elucidate the relationship between stroke and depression by identifying a biomarker in stroke survivors. The findings may provide...

Virtual Drug Screening with Less Data: Boosting Predictions with Transfer Learning and Kernel Methods

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A team of researchers at the Eric and Wendy Schmidt Centre at the Broad Institute of MIT and Harvard developed a model that uses...