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Charting the Protein Universe with ProTrek’s Tri-Modal Contrastive Learning

Bioinformatics, in its continuous advancement, depends on the detailed examination of proteins within its molecular domain. Proteins, the working structures of the cell, have...

Leveraging AlphaFold, Rosetta, and Replica-Exchange for Reliable Protein-Protein Docking with AlphaRED

Significant progress has recently been made in predicting protein sequence to structure; however, modeling protein interfaces and complex structures is still tricky, particularly when...

Protein Shapes in Motion: How Diffold Revolutionizes Conformation Sampling

Our cells are supported critically by proteins, which are also highly affected by their 3D structure. The triumph in computational biology is the ability...

MultiRNAflow: A Comprehensive Tool for Temporal RNA-seq Data Analysis in Multiple Biological Conditions

RNA sequencing is currently a useful tool for studying the dynamic transcriptional mechanisms that control the operation of eukaryotic cells. Nevertheless, complicated experimental designs...

Predicting Multiple Conformations and Ensembles with AFsample2: An AlphaFold2 Extension

Acting as enzymes, structural elements, and molecular motors, proteins represent the molecular drive of biological systems, the elucidation of which relies on the explication...

Simplifying Single-cell Metadata Exploration with LotOfCells

Single-cell RNA sequencing (scRNA-seq) has brought a revolution in biological research by granting scientists a look into the mechanisms inside individual cells within a...

Outsmarting the Malaria Parasite: SMART Researchers Decode the Mystery of Drug Resistance Mechanism

Artemisinin, which is used as a cure for malaria, has remained an effective drug in managing the disease over the years. However, the recent...

No Coding Required! SaprotHub Brings Protein Modeling to Every Biologist

Users without prior Machine Learning (ML) experience have difficulties when it comes to training and implementing deep learning models. Regardless of prior experience with...

Breaking New Ground in RNA Structure and Sequence Design with RNAFlow

Unsung heroes of our cells are RNAs. These molecules are responsible for many biological processes, from carrying hereditary material to controlling protein production. However,...

Oxford Researchers Develop Game-changing Small Molecule to Suppress the Evolution of Antibiotic Resistance

Antibiotic resistance is one of the most pressing challenges in modern medicine. As bacteria evolve to withstand our best treatments, once-manageable infections are becoming...

Scaling Protein Design and Scaffolding to the Structural Universe with Genie 2’s Holistic Approach

Genie is a promising method for designing proteins that use expressive SE(3)-equivariant attention and simple Gaussian noise to represent structures asymmetrically during forward and...

GeneFormer: A Transformer-based Approach for Efficient Gene Data Compression

In a recent study, scientists from Tsinghua University, China, introduced GeneFormer, a unique system for compressing gene sequences. The technique uses transformers to make...

Predicting Ligand-specific Protein-ligand Complex Structure with DynamicBind: A Novel Deep Equivariant Generative Model

In the ever-changing environment of computational biology, predicting the structure of protein-ligand complexes remains a vital task with far-reaching ramifications for drug development and...

The Promise and Reality of AI-discovered Drugs: A Look at Early Clinical Trial Success

Drug discovery is a process known for being slow and expensive. A great number of optimistic molecules disappear in clinical trials while patients wait...

Protein Design Reimagined: ProtMamba’s Alignment-Free, Homology-Aware Modeling

Personalized medicine and effective sequence utilization are made possible by protein design, even in cases when numerous sequence alignments are not well constructed. This...

Accelerating Drug Discovery with QComp’s Innovative QSAR-based Data Completion Framework

In drug discovery, the accurate prediction of chemical activities is paramount. The conventional forms of QSAR that were initially developed and widely used are...

The False Positive Problem in Drug Discovery: Can ChemFH Be the Solution?

In the drug discovery process, high-throughput screening quickly evaluates a wide range of chemical compounds to find hit compounds for certain biological targets. False-positive...

Can Deep Learning Methods Tackle Practical Protein-Ligand Docking Challenges? Introducing PoseBench

Scientists from the University of Missouri, Columbia introduced PoseBench, the first exhaustive benchmark for practical protein-ligand docking, enabling rigorous evaluation of deep learning docking...

ProteinDPO: A Novel Technique for Aligning Generative Protein Models with Experimental Fitness

Lives would not be made perfect without proteins since they are vital macromolecules that provide stability in their function. The study from Stanford University...

Top 10 Breakthroughs Enabled by AI in Bioinformatics

The field of bioinformatics is experiencing a renaissance fueled by Artificial Intelligence (AI). Techniques like deep learning and machine learning can handle complex biological problems...

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Proteome-Wide PPI Screening: AlphaFastPPi Paves the Way for Large-Scale Studies

Proteome-wide PPI Screening: AlphaFastPPi Paves the Way for Large-scale Studies

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Despite the challenge of scaling for large-scale screenings, advances in computational structural biology, like AlphaFold-Multimer, have greatly improved the understanding of protein-protein interactions across...
BioNeMo Folds the Human Proteome: A Fused Dataset of 3D Protein Models for Machine Learning Applications

BioNeMo Folds the Human Proteome: A Fused Dataset of 3D Protein Models for Machine...

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In a recent scientific breakthrough, a team of researchers from NVIDIA and Innophore, USA, came up with a holistic dataset of the predicted protein...
Machine Learning Unveils a Million Potential Antimicrobial Peptides in the Global Microbiome

Machine Learning Unveils a Million Potential Antimicrobial Peptides in the Global Microbiome

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Antibiotic resistance must be addressed immediately with novel antibiotics. By using a large dataset of 63,410 metagenomes and 87,920 prokaryotic genomes from environmental and...
Advancing Pharmaceutical and Industrial Protein Engineering with StructureGPT's Innovative Structure-to-Sequence Translation Capabilities

Advancing Pharmaceutical and Industrial Protein Engineering with StructureGPT’s Innovative Structure-to-Sequence Translation Capabilities

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Sequence-to-structure predictions are the main focus of current computational methods for reverse translation, which is the process of translating complicated protein structures into sequences....
The AI Behind the Breakthroughs: Meta Llama 3 NIM and the Future of Healthcare and Life Sciences

The AI Behind the Breakthroughs: Meta Llama 3 NIM and the Future of Healthcare...

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The healthcare industry is about to change significantly due to the advent of generative AI. Meta Llama 3 NIM, a mighty NVIDIA-developed AI microservice,...