Evolutionary Scale’s ESM Cambrian: Revolutionizing Protein Understanding at the Scale of...
Proteins are the most essential molecules for all forms of life on Earth. They perform a vast number of actions vital for life. However,...
DRUG-seq: A Game-Changing Approach to Transcriptional Profiling in Drug Discovery
The identification and comprehension of the mechanisms of potential drug compounds is a complex and expensive endeavor in the constantly changing pharmaceutical research landscape....
AI-Driven Macrocycle Design: How RFpeptides Generate High-Affinity Protein Binders for Diagnostics...
Large-scale screening techniques that are resource-intensive and offer limited control on binding mode are usually used to produce macrocyclic binders to therapeutic proteins. There...
Can InterPLM Decode the Hidden Language of Protein Modeling and Design...
The emergence of Protein Language Models (PLMs) is changing biological research for the better through efficient prediction of functional annotations and protein structures. However,...
Learning from Extremophiles: HyperMPNN’s Revolutionary Approach to Thermostable Protein Design
Recombinant proteins must be stable in order to be used in biotechnological or medicinal applications. Both the creation of new proteins and the stabilization...
Unlocking the Power of Single-cell RNA Sequencing with scExplorer
With its recent advancements, scRNA sequencing has enabled scientists to view the biological world at the most local of levels- the single cell. Thanks...
Seamless Multi-Omics Integration Made Easy with iModMix
Integrating metabolomics with other omics and providing insights into the biology of disease requires bioinformatics competence. Integration is difficult with present approaches, though, as...
Unlocking Chemical Space: TamGen’s Generative AI Approach for Target-Aware Molecule Generation...
Novel compounds can be discovered in the wide chemical space due to generative drug design that enables one to develop molecules that are effective...
Exploring New Frontiers in SARS-CoV-2 Research with The Virtual Lab
When COVID-19 emerged as a global catastrophe, the scientists had only one goal: to come up with the possible treatments for the virus SARS-CoV-2,...
RhoFold+: Transforming RNA 3D Structure Prediction with Deep Learning
Although RNA 3D structures are important in understanding their functions and in the design of new drugs, their accurate prediction is still a challenge....
Unlocking the Secrets of RNA: How RNA-GPT is Transforming the Way...
RNAs are crucial molecules that convey genetic information necessary for life, and they have a big impact on biotechnology and medicine development. However, the...
From Concept to Reality: Efficient Protein Pocket Design with PocketGen
Protein pockets have been an integral part of drug discovery for several years and are also targeted during the design of novel molecules. Pockets...
Evo: A Genomics Foundation Model Redefining Sequence Modeling and Design
The DNA sequences of all living organisms hold the fundamental instructions for life. Massive datasets of entire genomes, together with machine learning advancements, may...
Innovating Through Collaboration: The Protein Engineering Tournament’s Impact on Computational Design
Protein engineering heavily relies on generating sequences using computational models. Limitations such as lack of benchmarking opportunities, scarcity of large protein function datasets, and...
How BALM is Redefining Binding Affinity Prediction for Unseen Targets and...
In the fast-paced world of drug discovery, one of the most crucial aspects is understanding protein-ligand interactions. With the correct algorithms for predicting protein-ligand...
EPBDxDNABERT-2: A Multi-Modal Deep Learning Model for Enhanced Transcription Factor DNA...
It has been demonstrated that there is a functional correlation between transcriptional activity, thermodynamic stability, DNA breathing, and transcription factor (TF) binds. The researchers...
Omega-3 and Omega-6 Fatty Acids: New Allies in Cancer Prevention
A groundbreaking new research from the University of Georgia unveils that omega-3 and omega-6 fatty acids may play an integral role in cancer prevention,...
The Future of Bioinformatics: Building Expertise for Data-Driven Discovery
In an era where biological data grows exponentially, bioinformatics has emerged as a vital interdisciplinary field that combines biology, computer science, mathematics, and statistics....
The Power of Foundation Models in Pathology: How Paige’s Virchow is...
Computational pathology is the evolution of cancer diagnosis into a new era, with the application of artificial intelligence to understand complex histopathology images. Generally,...
Unlock Molecular Conformations with Moltiverse Using Enhanced Sampling Molecular Dynamics Simulations
For drug development to be effective, it is essential to accurately predict the various bound-state conformations of small compounds, especially in situations where intricate...
AlphaFold3 Goes Open Source: A New Chapter in AI-Powered Protein Science
In a significant move for the scientific community, Google DeepMind has finally released the open-source code for AlphaFold3, their groundbreaking protein structure prediction tool....
New Bacterial Anti-Viral Defense System Revealed: How mRNA Alteration Stops Infection
As biologists have noticed, evolution has modified both bacteria and bacteriophages (i.e., viruses of bacteria), making them more complex on a smile's molecular level....
PharmacoNet: Revolutionizing Ultra-Large-Scale Virtual Screening for Drug Discovery with Deep Learning-Powered...
Virtual screening techniques, which concentrate on binding affinities, are becoming more and more popular for early-stage drug development. Although deep learning-based methods predict binding...
Exploring Mitochondrial DNA Mutations with Mosaicism in Cancer and Aging
Currently, we know that genomic variations are gathered up in somatic cells as one age, but we have a limited understanding of mitochondrial DNA...
Beyond Virtual Screening: How Rag2Mol Transforms AI-Driven Drug Discovery
The process of drug discovery has always necessitated a large amount of time and effort as it requires a careful combination of both chemical...
RAPIDDOCK: Revolutionizing Drug Discovery with Transformer-Based High-Speed Molecular Docking
Small molecule drug discovery could be revolutionized by molecular docking tools. Still, current molecular docking methods are slow to screen targets, leading to missed...
Scripps Scientists Unveil New Proteins with Potential to Slow Cancer Growth
To fight cancer, we must stop their metastasis or uncontrolled multiplication. Hence, it is important to understand what proteins these cancer cells need for...
The Encyclopedia of Domains: Mapping the Diversity of Protein Domains in...
Information about the function and three-dimensional structures of proteins can be found in the AlphaFold Protein Structure Database (AFDB). Almost all of the proteins...
Turning Genes On and Off: AI-Designed DNA Switches Revolutionize Gene Regulation
In this day and age, artificial intelligence is everywhere; it’s omnipresent. It is utilized in healthcare, finance, entertainment, IoT, agriculture, marketing, cybersecurity, and so...
Decoding Complex Interactions: How AlphaBridge Enhances Macromolecular Structure Interpretation
Scientists can now model interactions and assess the possibility that proteins will form multimers or interact with other proteins or nucleic acids thanks to...
How Can Synthetic Genomes Revolutionize Cancer Research and Precision Oncology?
Cancer, a complex disease arising from genetic alterations, has been a major global health challenge. Researchers have been able to make considerable progress in...
Building with Proteins: A New Modular Approach to Nanomaterials Design
Scientists present a modular bond-centric strategy for designing protein nanomaterials that are motivated by the wide range of chemical configurations that may be produced...
Advancing Protein Function Prediction: ProtEx’s Exemplars-based Retrieval-Augmented Approach
The challenge of connecting a protein sequence to its fundamental biological function is becoming more and more significant in the field of biology. The...
DeltaDock: Streamlining Molecular Docking with a Unified, Reliable Framework
DeltaDock is a novel two-stage framework capable of performing molecular docking, which has not been achieved before. It does so by combining the strengths...
Deep Learning Models in Pathogenicity Prediction: Insights from Hereditary Breast Cancer...
Deep learning models have been used to predict the pathogenicity of mutations in hereditary breast cancer gene variants in the UK Biobank. Here, researchers...
Meet BioFunctional: A Comprehensive Tool for KEGG Pathway and Gene Ontology...
In the field of biological research, understanding the relationship between different biological components and their function is complicated. Functional analysis, a part of computational...
InstructBioMol: Empowering Researchers to Design Biomolecules through AI and Human Collaboration
Drug discovery, synthetic biology, and enzyme engineering are all dependent on the ability to comprehend and create biomolecules, such as proteins and tiny molecules....
Computing the Human Interactome: A Deep Dive into Protein Interactions
A recent study by a team of researchers has made significant strides in unraveling this complex puzzle of human interaction. The human interactome encompasses...
Understanding FlexLMM: A Nextflow Framework for Genome-Wide Association Studies
Genome-wide association Studies (GWAS) consider sequencing the DNA of a person and then comparing it with a population to find genetic markers associated with...
Meet metagWGS: A Flexible Workflow for Comprehensive Metagenomic Data Processing
An increasing number of studies employ metagenomic analyses to investigate the taxonomy and function of microorganism communities. In many microbial research, one typical job...
Cleveland Clinic and IBM Leverage AI to Revolutionize Drug Discovery for...
In drug development, it isn't easy to learn molecular representation from chemical structures since traditional molecular representation techniques, such as sequence-based and graph-based approaches,...
The Protein Revolution: 2024 Nobel Prize in Chemistry Pioneers Protein Design...
In a groundbreaking announcement that has sent ripples through the scientific community, the Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize...
PlasmidGPT: Transforming Plasmid Design with Generative AI
Recent research shows that within the domain of synthetic biology, there have been tremendous improvements, especially in designing and engineering biological systems. Plasmids, crucial...
ProteusAI: Making Protein Design and Engineering Accessible to All
Protein structure prediction is a pretty big challenge in the field of bioinformatics as it depends on a multitude of factors. Imagine trying to...
BindCraft: Redefining Protein Binder Design with AI and One-Shot Precision
All important biological processes revolve around protein-protein interactions (PPIs'). Designing PPIs' is difficult, nonetheless, because of the intricate structural characteristics that define them. Researchers...
Malaria Research Milestone: Scientists Design New Drug to Fight Drug-Resistant Malaria
Researchers from Yale University and other institutions have identified MED6-189 as a new antimalarial drug, a new development that might change the dynamics of...
The Future of Protein Engineering: Exploring the Potential of CodonMPNN
Making synthetic protein sequences from protein structures is a powerful use of protein engineering technology. It can be challenging to create designed proteins, though,...
MedChem Game: Gamifying Drug Discovery with AI on Your Android
Improved computational tools and artificial intelligence significantly improve drug discovery. This process has automated activities like molecular docking and predictive modeling to discover candidates...
Expansion in situ Genome Sequencing: A New Tool for Studying Nuclear...
The investigation of nuclear anomalies and how they influence the regulation of genes warrants analysis of various cellular functions and diseases. The researchers from...
How ChemNet is Revolutionizing Protein-Small Molecule Conformational Modeling
Modeling of protein-small molecule systems offers advantages in speed and generality for exploring interactions with small molecules in the folded state; the modeling of...
Must Read
Solving a Long-Standing Genomics Bottleneck: KAIST Proposes AI-Powered Strategy for Gene Function Prediction
KAIST and UCSD researchers proposed AI-driven strategies for microbial gene function discovery, addressing the long-standing bottleneck where many microbial genes remain uncharacterized despite advances...
AI-Powered Metagenomics: How MetagenBERT Predicts Disease From Raw DNA Sequences
Researchers from Sorbonne University and Dauphine University, France, introduced MetagenBERT, a Transformer-based framework for disease prediction directly from raw metagenomic DNA without relying on...
ToposBio Unveils Topos-1: An All-Atom Foundation Model for Intrinsically Disordered Proteins
Intrinsically disordered proteins (IDPs) are proteins that are central to neurodegenerative diseases and aggressive cancers like prostate cancer, have been considered ‘undruggable’ as structures...
CleaveNet Enables Scalable and Targeted Protease Substrate Design for Diagnostics and Therapeutics
Scientists from MIT and Microsoft Research present CleaveNet, an AI-based pipeline that merges predictive and generative modeling for end-to-end peptide (short protein) design. By...
Advancing Peptide Therapeutics with PeptiVerse’s Unified Prediction Framework
Researchers at the University of Pennsylvania developed PeptiVerse, a single platform that predicts drug-related properties of therapeutic peptides using either amino acid sequences or...