Tools

Bioinformatics tools, software, databases and web servers: what they do and how researchers use them.

AI | Bioinformatics | LLM | News | Paper Summary | PPI | Tools | Trending
Revolutionizing Protein-Protein Interaction Prediction with ProLLM’s Chain-of-Thought Enhanced LLM
ByDeotima Chakraborty May 2, 2024October 22, 2026
Predicting protein-protein interactions (PPIs) is essential to comprehend biological processes and illnesses. Conventional machine learning techniques ignore nonphysical linkages made through intermediary proteins in favor of direct physical interactions. By converting structured data into natural language prompts, mapping protein linkages into sentences, finding indirect connections, and following the journey from upstream to downstream, Large Language…
Read More Revolutionizing Protein-Protein Interaction Prediction with ProLLM’s Chain-of-Thought Enhanced LLM
AI | Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Tools | Trending
ETH Zurich Chemists Unveil DRAGONFLY: New AI Approach for Rapid Drug Design from Protein Structures
ByAnchal Negi April 30, 2024October 22, 2026
Centuries of scientific invention have been driven by the search for new drugs to fight against diseases. Since medicinal plants became valuable sources of medicine from synthetic chemistry, we have consistently improved our capacity to design molecules with therapeutic potential. However, the traditional drug discovery process is time-consuming, costly, and fraught with challenges. It is…
Read More ETH Zurich Chemists Unveil DRAGONFLY: New AI Approach for Rapid Drug Design from Protein Structures
AI | Big Data | Bioinformatics | News | OMICS | Paper Summary | Tools | Trending
SpatialData: A Universal Framework for Handling Spatial Omics Analysis
ByDeotima Chakraborty April 29, 2024October 22, 2026
The application of spatially resolved omics technology is revolutionizing our comprehension of biological tissues. Large data quantities, variety in data types, and a lack of adaptable, spatially aware data structures make processing uni- and multimodal spatial omics datasets difficult. Researchers offer SpatialData, a framework that creates a common coordinate system alignment, a lazy representation of…
Read More SpatialData: A Universal Framework for Handling Spatial Omics Analysis
AI | Bioinformatics | Machine Learning | News | Paper Summary | RNA-Seq | Structural Biology | Tools | Trending
Cracking the RNA Inverse Folding Puzzle with RiboDiffusion’s Generative Diffusion Approach
ByAnshika Gupta April 28, 2024October 22, 2026
Molecular biology scientists have been captivated by the complex way RNA folds. A recent study by Beihang and Nanjing University researchers in China introduces the RiboDiffusion model. This new method looks at predicting protein structure at the atomic level and is more advanced than existing methods like StructGNN and GVP-GNN. RiboDiffusion: A Game Changer Designing…
Read More Cracking the RNA Inverse Folding Puzzle with RiboDiffusion’s Generative Diffusion Approach
AI | Big Data | Bioinformatics | Computational Models | Gene Expression | Genomics | Machine Learning | News | OMICS | Paper Summary | RNA-Seq | Tools | Trending
Decoding the Regulatory Landscape with LINGER: A New Era in Gene Regulatory Networks Inference
ByDeotima Chakraborty April 27, 2024October 22, 2026
Despite the difficulties presented by the current methods depending solely on gene expression data, RNA sequencing data has been incorporated into Gene regulatory networks (GRN) inference methods, improving the capacity to learn complicated pathways from a few independent data points. Here, scientists offer LINGER (Lifelong neural network for gene regulation), a machine-learning technique that uses…
Read More Decoding the Regulatory Landscape with LINGER: A New Era in Gene Regulatory Networks Inference
AI | Bioinformatics | Machine Learning | Molecular Dynamics | News | Paper Summary | Tools | Trending
GEMS: DeepMind’s Novel Approach to Accurate Biomolecular Dynamics through Machine-Learned Quantum-Mechanical Force Fields
ByAnchal Negi April 24, 2024October 22, 2026
Think about peering into the intricate world of biomolecules, those complex assemblies that direct the symphony of life. Scientists have long relied on molecular dynamics (MD) simulations to watch them dance, but these often require costly quantum-mechanical calculations to get accurate results. However, a groundbreaking new technique called GEMS (general approach for constructing accurate machine-learned…
Read More GEMS: DeepMind’s Novel Approach to Accurate Biomolecular Dynamics through Machine-Learned Quantum-Mechanical Force Fields
AI | Bioinformatics | LLM | News | Paper Summary | Sequencing | Tools | Transcriptomics | Trending
Unveiling Bioinformatics Copilot 1.0: A Cutting-Edge LLM-Driven Solution for Transcriptomic Data Analysis
ByDeotima Chakraborty April 23, 2024October 22, 2026
Single-cell transcriptomics has been generating large-scale information, improving our knowledge of cellular processes across different tissues, and facilitating medication discovery, diagnosis, and prognosis. But sorting through all of this data has proven to be an enormous undertaking that frequently takes weeks or months. The vast amount of data generated—between hundreds of gigabytes and tens of…
Read More Unveiling Bioinformatics Copilot 1.0: A Cutting-Edge LLM-Driven Solution for Transcriptomic Data Analysis
AI | Bioinformatics | Computational Models | LLM | Neural Network | News | Paper Summary | Structural Biology | Tools | Trending
Decoding Proteins with DeProt: A Breakthrough in Language Modeling through Quantized Structure and Disentangled Attention
ByDeotima Chakraborty April 22, 2024October 22, 2026
Conventional representational models of protein functions have demonstrated notable performance in downstream tasks; nevertheless, they frequently do not incorporate explicit information on protein structure, which is essential for comprehending the connection between protein sequences and functions. To fill this void, scientists provide DeProt, a Transformer-based protein language model that can take into account the shapes…
Read More Decoding Proteins with DeProt: A Breakthrough in Language Modeling through Quantized Structure and Disentangled Attention
AI | Bioinformatics | Genomics | LLM | News | Paper Summary | Tools | Trending
Unlocking Protein Co-regulation: How Genomic Language Models Illuminate Function Predictions
ByAnshika Gupta April 21, 2024October 22, 2026
Are you aware of the perception of a genomic language model? If not, then it’s worth mentioning that researchers at Harvard, Cornell University, and the Massachusetts Institute of Technology developed gLM, a Genomic Language Model, which is trained on enormous amounts of metagenomic data to interpret gene contextual representations. Using pLM embeddings and transformer architecture,…
Read More Unlocking Protein Co-regulation: How Genomic Language Models Illuminate Function Predictions
AI | Bioinformatics | Drug Discovery | Neural Network | News | Paper Summary | Structural Biology | Tools | Trending
Revolutionizing Molecular Linker Design with DiffLinker: The Power of Equivariant 3D-conditional Diffusion Models
ByDeotima Chakraborty April 19, 2024October 22, 2026
The effective paradigm of molecular linkers in drug discovery is crucial for obtaining relevant candidate molecules in early-stage drug development. In this study, researchers present DiffLinker, a three-dimensional conditional diffusion model for molecular linker design that is E(3)-equivariant. A synthetically available model called DiffLinker generates molecules from disconnected fragments that include all of the original…
Read More Revolutionizing Molecular Linker Design with DiffLinker: The Power of Equivariant 3D-conditional Diffusion Models
Bioinformatics | News | Paper Summary | PPI | Structural Biology | Tools | Trending | Web Server | Web Servers
Unleash the Power of PPI3D: A Comprehensive Web Server to Explore, Analyze, and Model Protein-Protein, Protein-Peptide, and Protein-Nucleic Acid Interactions
ByDeotima Chakraborty April 18, 2024October 22, 2026
Understanding molecular mechanisms requires an understanding of protein interactions with nucleic acids. Researchers can query preprocessed and clustered structural data, analyze the data, and draw conclusions about protein interactions based on homology using the PPI3D web server. All interactions for proteins homologous to the query, interactions between two proteins or their homologs, and interactions within…
Read More Unleash the Power of PPI3D: A Comprehensive Web Server to Explore, Analyze, and Model Protein-Protein, Protein-Peptide, and Protein-Nucleic Acid Interactions
Big Data | Bioinformatics | Cancer | Cloud Computing | Epigenomics | News | NGS | Paper Summary | Sequencing | Tools | Trending
Supercharge Epigenomic Workflows with EAP: A Cloud-Based Platform for Comprehensive and Interactive Analysis of Large ChIP/ATAC-seq Datasets
ByDeotima Chakraborty April 15, 2024October 22, 2026
The significance of comprehending gene expression regulation in tissue development is highlighted by the examination of disease progression through methods such as ChIP-seq and ATAC-seq. On the other hand, the growing volume of data poses computing difficulties, and the dearth of organized tools emphasizes the requirement for effective analysis platforms. Researchers from the Shanghai Institute…
Read More Supercharge Epigenomic Workflows with EAP: A Cloud-Based Platform for Comprehensive and Interactive Analysis of Large ChIP/ATAC-seq Datasets
AI | Bioinformatics | Genomics | LLM | News | Tools | Trending
Unveiling VarChat: A Leap Forward in Genomic Variation Interpretation
ByDeotima Chakraborty April 12, 2024October 22, 2026
Research on genomes is booming in the scientific community, and this is translating into an explosion of published results. Genetic experts and researchers now need to keep up with the most recent discoveries and their practical implications. Finding pertinent scientific articles and gathering important data for the interpretation of genetic variants provide a problem. The…
Read More Unveiling VarChat: A Leap Forward in Genomic Variation Interpretation
Bioinformatics | News | Paper Summary | Tools | Transcriptomics | Trending
Streamlining Bacterial Epigenomics: Bacmethy, One-Stop Tool for Bacterial DNA Methylation and Gene Regulation
ByAnchal Negi April 6, 2024October 22, 2026
DNA has been a holy grail as it is believed to contain all the intricate instructions that build and run an organism. However, scientists have recently found out that there is one more level of complexity called epigenetics, which affects gene expression without changing DNA sequence. In bacteria, DNA methylation serves as an important epigenetic…
Read More Streamlining Bacterial Epigenomics: Bacmethy, One-Stop Tool for Bacterial DNA Methylation and Gene Regulation
AI | Algorithm | Bioinformatics | Drug Discovery | News | Paper Summary | Tools | Trending
Meet MolProphet: A One-Stop AI Platform for the Early Stages of Drug Discovery
ByAnshika Gupta April 5, 2024October 22, 2026
Are you aware that plenty of operational AI applications have emerged in the early stages of small-molecule drug discovery? Do you recognize that those packages regularly require a thorough grasp of software programs and hardware, as well as a specialization in an optimistic effort, inflicting boundaries for regular users, in fact, normalization and switching among…
Read More Meet MolProphet: A One-Stop AI Platform for the Early Stages of Drug Discovery
AI | Bioinformatics | LLM | Medical Informatics | News | Paper Summary | Tools | Trending
Exploring BioMedLM – 2.7 Billion Parameter GPT-style Autoregressive Model: A Breakthrough in Biomedical Language Modeling
ByDeotima Chakraborty April 3, 2024October 22, 2026
A new NLP model called BioMedLM from the researchers of Stanford University and DataBricks seeks to rival models like Med-PaLM 2, which performs admirably on a range of biological tasks but is computationally costly, requires input data from the internet and is trained on unidentified data sources. It is possible to create smaller, more focused…
Read More Exploring BioMedLM – 2.7 Billion Parameter GPT-style Autoregressive Model: A Breakthrough in Biomedical Language Modeling
AI | Bioinformatics | Deep Learning | Drug Discovery | News | Paper Summary | Tools | Trending
Bridging Gaps in Structure-Based Drug Design: The MolSnapper’s Breakthrough Conditioning Diffusion Approach
ByAnshika Gupta April 3, 2024October 22, 2026
The synergy among the Nuffield Department of Medicine and the Department of Statistics at the University of Oxford represents a blend of medical expertise with statistical rigor – “The MolSnapper,” built using deep learning, promptly exploring intricate molecular specificity for proteins in 3D conformations. Unlike previous approaches that rely on costly trial and error, Conditioning…
Read More Bridging Gaps in Structure-Based Drug Design: The MolSnapper’s Breakthrough Conditioning Diffusion Approach
AI | Bioinformatics | Drug Discovery | Knowledge Graph | News | Paper Summary | Tools | Trending
Exploring Medicine’s Future with KnowDDI: How Knowledge Subgraph Learning Improves Drug-Drug Interaction Prediction
ByAnchal Negi April 1, 2024October 22, 2026
Have you ever wondered what happens when you take multiple medications? Although each drug is intended to address a particular condition, there are instances whereby their cumulative effects may be erratic and dangerous. This is where DDI science comes in. In this post, we will expand on an advanced technique called KnowDDI, developed by Tsinghua…
Read More Exploring Medicine’s Future with KnowDDI: How Knowledge Subgraph Learning Improves Drug-Drug Interaction Prediction
Bioinformatics | Drug Discovery | News | Paper Summary | Proteomics | Structural Biology | Tools | Trending
Meet PiMine: A Database-Driven Approach for Protein-Protein Interface Similarity Detection
ByAnshika Gupta March 30, 2024October 22, 2026
Researchers at Universität Hamburg introduced PiMine, an application that senses structurally related protein-protein interfaces while being driven by a database. PiMine analyzes these interfaces, which are sources of information about protein function and are also important in drug discovery. It distinguishes itself from other programs by the ability to scrutinize interfaces in terms of structural…
Read More Meet PiMine: A Database-Driven Approach for Protein-Protein Interface Similarity Detection
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Precision Medicine | Structural Biology | Tools | Trending
Brown University’s Subsampled AlphaFold2 Approach for Predicting Protein Dynamics: A Game-changer for Drug Discovery?
ByAnchal Negi March 30, 2024October 22, 2026
Proteins are life’s molecular workhorses and play crucial roles in every biological process. Understandably, their complex shapes, also known as conformations, are the key that unlocks their secrets to new drug development. Proteins are not still statues but rather change into different conformations like ninjas to play different functions. This movement of protein has been…
Read More Brown University’s Subsampled AlphaFold2 Approach for Predicting Protein Dynamics: A Game-changer for Drug Discovery?
Bioinformatics | Chemoinformatics | Computational Models | Drug Discovery | News | Paper Summary | Protein Design | Structural Biology | Tools | Trending
Unlocking New Drug Targets: Researchers Develop Computational Method to Target Proteins Inside Cell Membranes
ByAnchal Negi March 28, 2024October 22, 2026
Can you imagine that you can design proteins that have a particular function, and they are like small robots working inside our cells? This may be the reality pretty soon. Researchers from the University of California and Yale University came up with an innovative way of creating transmembrane proteins from scratch, thus leading to targeted…
Read More Unlocking New Drug Targets: Researchers Develop Computational Method to Target Proteins Inside Cell Membranes
AI | Bioinformatics | Cancer Research | LLM | News | RNA-Seq | Tools | Trending
Revolutionizing Cell Type Annotation: GPT-4’s Breakthrough in scRNA-seq Analysis
ByDr. Tamanna Anwar March 26, 2024October 22, 2026
Single-cell RNA sequencing (scRNA-seq), a rapidly developing field of RNA sequencing of single cells, has recently made a breakthrough that could revolutionize cell type annotation. Using GPT-4’s powerful language model, Columbia University Mailman School of Public Health and Duke University School of Medicine researchers have demonstrated that cell types can be accurately annotated based on…
Read More Revolutionizing Cell Type Annotation: GPT-4’s Breakthrough in scRNA-seq Analysis
Bioinformatics | Cell | News | NGS | Paper Summary | RNA-Seq | Sequencing | Tools | Transcriptomics | Trending
Deciphering Ligand-Receptor Signaling Dynamics at Cellular Resolution with CytoSignal: A Breakthrough in Spatial Transcriptomics
ByDeotima Chakraborty March 19, 2024October 22, 2026
A thorough understanding of the cellular connections inside these tissues is being made possible by technologies that use spatial transcriptomic approaches to revolutionize the study of ligand-receptor signaling in tissues. CytoSignal was created by researchers from the University of Texas and the University of Michigan to use spatial transcriptomic data to infer the locations and…
Read More Deciphering Ligand-Receptor Signaling Dynamics at Cellular Resolution with CytoSignal: A Breakthrough in Spatial Transcriptomics
AI | Bioinformatics | LLM | News | Paper Summary | Proteomics | Tools | Trending
Unveiling PROTLLM: The Next Generation Cross-Modal Large Language Model for Protein-Centric and Language Tasks
ByDeotima Chakraborty March 18, 2024October 22, 2026
PROTLLM is a versatile crossmodal large language model (LLM) proposed by Beijing Institute of Technology researchers designed for protein-centric and protein-language tasks. It can handle complicated inputs with natural language text mixed with an arbitrary number of proteins thanks to its dynamic protein mounting technique. By creating a specialized protein vocabulary, the proteins-word language modeling approach…
Read More Unveiling PROTLLM: The Next Generation Cross-Modal Large Language Model for Protein-Centric and Language Tasks
AI | Bioinformatics | Deep Learning | News | Paper Summary | Structural Biology | Tools | Trending
Basecamp Research Introduces BaseFold: A New Deep Learning Approach to Protein Structure Prediction
ByDeotima Chakraborty March 17, 2024October 22, 2026
Scaling laws predict the presence of over a trillion species on our planet. However, only a small fraction of them have been studied. Deep learning models applied for work in life sciences generally depend on the size and quality of training or reference datasets. The study suggests a data-centric strategy to improve deep learning models…
Read More Basecamp Research Introduces BaseFold: A New Deep Learning Approach to Protein Structure Prediction
Bioinformatics | News | Paper Summary | Systems Biology | Tools | Trending
BioModME: A User-friendly Web Application for Building and Analyzing Biological Models
ByAnchal Negi March 14, 2024October 22, 2026
The complex processes that regulate biological systems have fascinated scientists for thousands of years. However, elucidating these complex issues sometimes requires thinking outside the box using traditional experimental methods. Here, computer modeling can help scientists gain valuable insights by replicating biological processes in silico. However, a major obstacle can be the amount of technical knowledge…
Read More BioModME: A User-friendly Web Application for Building and Analyzing Biological Models
AI | Bioinformatics | Genomics | LLM | News | Paper Summary | Tools | Trending
Decoding Genes and Cells with GenePT: A Simple Yet Powerful Foundation Model Leveraging ChatGPT
ByDeotima Chakraborty March 11, 2024October 22, 2026
Large-scale gene expression data is used by Geneformer and scGPT models to build fundamental single-cell biology models. These models implicitly learn gene and cellular activities from millions of cell expression profiles, necessitating labor-intensive training and considerable data curation. Here, researchers from Stanford University use gene embeddings from the literature leveraging ChatGPT to investigate a much…
Read More Decoding Genes and Cells with GenePT: A Simple Yet Powerful Foundation Model Leveraging ChatGPT
Bioinformatics | Cancer | News | NGS | Paper Summary | RNA-Seq | Tools | Transcriptomics | Trending
Unlocking Cellular Secrets: SCORPION’s Breakthrough in Population-level Comparisons of Gene Regulatory Networks
ByAnchal Negi March 10, 2024October 22, 2026
Gaining insight into the intricate workings of genes within cells is essential to comprehending biological processes and illnesses. Bulk RNA sequencing, which hides diversity within cell populations and analyzes average gene expression across numerous cells, has historically been the focus of study. On the other hand, single-cell RNA sequencing, or scrRNA-seq, has become a powerful…
Read More Unlocking Cellular Secrets: SCORPION’s Breakthrough in Population-level Comparisons of Gene Regulatory Networks
AI | Bioinformatics | LLM | News | Paper Summary | Proteomics | Tools | Trending
ProLLaMA: A Multi-Tasking Protein Language Model Ushering in a New Era in Protein Science
ByAnchal Negi March 5, 2024October 22, 2026
The versatile workhorses of our cells, proteins, are essential to many biological processes. Numerous scientific endeavors, such as medication research and the creation of biomaterials, depend on our ability to comprehend their structure and function. Protein research has always been a laborious and time-consuming process. However, protein language models (PLMs) are revolutionizing this field by…
Read More ProLLaMA: A Multi-Tasking Protein Language Model Ushering in a New Era in Protein Science
AI | Bioinformatics | LLM | News | Paper Summary | Proteomics | Tools | Trending
Unveiling PTM-Mamba: Revolutionizing Proteomics with PTM-Aware Protein Language Model
ByDeotima Chakraborty March 5, 2024October 22, 2026
In living organisms, different types of proteins are essential for a variety of critical processes. The structural and functional diversity of many protein types is greatly influenced by post-translational modifications (PTMs), which allow cells to respond to changes in their environment and control intricate biological processes. Though they do not take into consideration the effects…
Read More Unveiling PTM-Mamba: Revolutionizing Proteomics with PTM-Aware Protein Language Model
AI | Algorithm | Bioinformatics | Drug Discovery | News | Tools | Trending
Eurofins Discovery Launches DiscoveryAI SAFIRE: A New AI Platform for Drug Discovery
ByDr. Tamanna Anwar March 3, 2024October 22, 2026
The drug discovery process is unduly time-consuming and expensive. Extensive laboratory testing is required to evaluate potential drug candidates for absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties. Compounds that fail to meet acceptable thresholds for these properties may be unsafe or ineffective in humans, leading to high failure rates in clinical trials. But what if…
Read More Eurofins Discovery Launches DiscoveryAI SAFIRE: A New AI Platform for Drug Discovery
AI | Bioinformatics | News | Paper Summary | Structural Biology | Tools | Trending
AlphaFLOW and ESMFLOW: A New Approach to Modeling Protein Ensembles with Combined Power of AlphaFold and Flow Matching
ByDeotima Chakraborty February 28, 2024October 22, 2026
Dynamic structural ensembles play a major role in the biological functions of proteins. For the purpose of learning and sampling the conformational landscapes of proteins, researchers create a flow-based generative modeling technique in this work. Sequence-conditioned generative models of protein structure are produced by optimizing the highly accurate single-state predictor AlphaFold technique within a unique…
Read More AlphaFLOW and ESMFLOW: A New Approach to Modeling Protein Ensembles with Combined Power of AlphaFold and Flow Matching
AI | Bioinformatics | Data Analysis | Gene Expression | Genomics | LLM | News | Paper Summary | Tools | Trending
Team of AI-made Scientists: A Groundbreaking System for Automating Scientific Discovery
ByAnchal Negi February 26, 2024October 22, 2026
Scientists from the University of Illinois, in collaboration with experts in the field, have unveiled a cutting-edge system named the “Team of AI-made Scientists.” This revolutionary development harnesses the power of large language models, effectively mimicking the capabilities of human data scientists to automate intricate analyses, such as the identification of disease genes. The research represents…
Read More Team of AI-made Scientists: A Groundbreaking System for Automating Scientific Discovery
AI | Bioinformatics | Knowledge Graph | LLM | News | Tools | Trending
LLMs in Biomedicine: Navigating the Future with the BioChatter Open-Source Solution
ByDr. Tamanna Anwar February 25, 2024October 22, 2026
BioChatter, a new open-source framework developed by Heidelberg University researchers and collaborators, aims to harness the power of large language models (LLMs) for biomedical research while ensuring responsible use. By integrating various functionalities like knowledge retrieval and model chaining, BioChatter simplifies LLM interaction for researchers, making it accessible and inclusive. It also emphasizes user-friendliness and…
Read More LLMs in Biomedicine: Navigating the Future with the BioChatter Open-Source Solution
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending
Unlocking New Frontiers in Drug Design with PCMol: Integrating AlphaFold and De Novo Approaches
ByDeotima Chakraborty February 24, 2024October 22, 2026
Deep learning-based virtual screening provides a more effective way to find molecules that resemble drugs, and virtual sources give chemists useful information. Leiden University researchers present PCMol, a multi-target model that trains the de novo generative model on target proteins using the latent embeddings extracted from AlphaFold. Protein descriptors are a useful tactic for expanding…
Read More Unlocking New Frontiers in Drug Design with PCMol: Integrating AlphaFold and De Novo Approaches
Bioinformatics | News | OMICS | Sequencing | Tools | Transcriptomics | Trending
Unveiling Flexiplex: A Versatile and Fast Demultiplexing and Sequence Searching Tool for Omics Data
ByDr. Tamanna Anwar February 23, 2024October 22, 2026
Omics datasets generated by high throughput sequencing contain vast amounts of nucleotide data that must be analyzed to extract meaningful biological insights. A common early step is identifying and extracting specific sequences of interest, like genetic barcodes or variants. Existing tools have limitations for this task, motivating the development of Flexiplex, a new versatile sequence searching…
Read More Unveiling Flexiplex: A Versatile and Fast Demultiplexing and Sequence Searching Tool for Omics Data
AI | Bioinformatics | Health | Neural Network | News | Tools | Trending
Cracking the Code of Drug-Drug Interaction: DDIPrompt Unlocks a World of Safer Treatments
ByDr. Tamanna Anwar February 22, 2024October 22, 2026
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 due to the intricacies of modeling interactions between drug molecules. In a new preprint posted on arXiv, scientists from Fudan University, The Chinese University of Hong Kong, and the University of…
Read More Cracking the Code of Drug-Drug Interaction: DDIPrompt Unlocks a World of Safer Treatments
AI | Bioinformatics | News | Paper Summary | Proteomics | Structural Biology | Tools | Trending
AlphaFind: A New Frontier in Proteomic Exploration
ByDeotima Chakraborty February 22, 2024October 22, 2026
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 been developed as a result of the inability of existing tools like PDBeFold to handle huge datasets. However, they are limited in their functionality by the fact that they can’t search…
Read More AlphaFind: A New Frontier in Proteomic Exploration
AI | Bioinformatics | Computational Models | News | Structural Biology | Tools | Trending
OpenFold Unveils SoloSeq and OpenFold-Multimer: Advancing AI in Protein Structure Analysis
ByDr. Tamanna Anwar February 20, 2024October 22, 2026
OpenFold, an artificial intelligence (AI) research consortium, has announced the release of two new tools that aim to improve protein structure prediction: SoloSeq and OpenFold-Multimer. These open-source tools represent important advances in integrating protein language models with structure prediction software, as well as modeling protein complexes more accurately. The SoloSeq model developed on Amazon Web…
Read More OpenFold Unveils SoloSeq and OpenFold-Multimer: Advancing AI in Protein Structure Analysis
Bioinformatics | Cancer | News | Paper Summary | Tools | Trending
Accelerating Cancer Research: MuSiCal Offers Accurate and Sensitive Mutational Signature Analysis
ByAnchal Negi February 20, 2024October 22, 2026
Cancer is a complex disease. It is brought on by the accumulation of several gene alterations. Understanding the patterns of these alterations, or mutational signatures, has been crucial to comprehending the genesis, prognosis, and available therapeutic options for cancer. However, there is a big obstacle in trying to extract these characteristics from the abundant genetic…
Read More Accelerating Cancer Research: MuSiCal Offers Accurate and Sensitive Mutational Signature Analysis
Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending
DANCE Unveils Hidden Depths of Protein Movement, Paving the Way for Better Drug Design
ByAnchal Negi February 16, 2024October 22, 2026
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 conformational states and motions of proteins despite the advances in high-throughput technologies that have increased our understanding of protein structures. For a methodical and thorough explanation of the conformational diversity of…
Read More DANCE Unveils Hidden Depths of Protein Movement, Paving the Way for Better Drug Design
AI | Bioinformatics | Drug Discovery | LLM | News | Structural Biology | Tools | Trending
tFold Unveiled: A Swift and Accurate Approach to Antibody-Antigen Complex Modeling and Design
ByAnchal Negi February 13, 2024October 22, 2026
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 the potential to significantly advance both the creation of therapeutic antibodies and scientific research. Traditional approaches are costly and slow, but an emerging technique called tFold (tFold-Ab and tFold-Ag) is rewriting…
Read More tFold Unveiled: A Swift and Accurate Approach to Antibody-Antigen Complex Modeling and Design
AI | Bioinformatics | News | Structural Biology | Tools | Trending
Making AI-Driven Structural Biology Accessible with Foldy
ByDr. Tamanna Anwar February 11, 2024October 22, 2026
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 advanced tools accessible to non-experts without specialized computing resources. To address this gap, researchers from Joint BioEnergy Institute, US, have developed Foldy – an intuitive web application that puts powerful structural…
Read More Making AI-Driven Structural Biology Accessible with Foldy
AI | Algorithm | Bioinformatics | News | Paper Summary | Structural Biology | Tools | Trending
CombFold: Advancing Structure Prediction of Large Protein Assemblies with Combinatorial Algorithms and AlphaFold2
ByDeotima Chakraborty February 9, 2024October 22, 2026
Deep learning models like RosettaFold and AlphaFold2 can predict protein structure with high accuracy; however, they still have difficulties when it comes to intricate connections between large proteins. To combat this problem, scientists from The Hebrew University of Jerusalem introduced CombFold, a hierarchical and combinatorial assembly technique that uses pairwise interactions between subunits predicted by…
Read More CombFold: Advancing Structure Prediction of Large Protein Assemblies with Combinatorial Algorithms and AlphaFold2
AI | Bioinformatics | News | Paper Summary | Proteomics | Tools | Trending
Revolutionizing Protein-protein Interaction Prediction with LazyAF: A Breakthrough Pipeline for Medium-scale In Silico Analysis
ByDeotima Chakraborty February 5, 2024October 22, 2026
Predicting protein structures has been transformed by artificial intelligence. However, rather than competence, accessibility, and ease of use are increasingly becoming limiting issues for end users as more sophisticated and powerful software is developed. In order to simplify the process of medium-scale protein-protein interaction prediction, the author Thomas C. McLean, from John Innes Centre, UK, presents…
Read More Revolutionizing Protein-protein Interaction Prediction with LazyAF: A Breakthrough Pipeline for Medium-scale In Silico Analysis
Bioinformatics | News | Paper Summary | RNA-Seq | Tools | Transcriptomics | Trending
Unlocking Cellular Mysteries with scPerturb: A Deep Dive into Harmonized Single-cell Perturbation Data
ByDeotima Chakraborty February 1, 2024October 22, 2026
Molecular and phenotypic responses to numerous perturbations are revealed by the increasing number of single-cell perturbation studies. However, variations in format, naming conventions, and data filtering frequently make it difficult to analyze data across varied databases. In order to aid in the advancement and evaluation of computational techniques in systems biology, 44 datasets featuring molecular…
Read More Unlocking Cellular Mysteries with scPerturb: A Deep Dive into Harmonized Single-cell Perturbation Data
AI | Bioinformatics | Biomarker Discovery | Disease Diagnosis | Genomics | Machine Learning | News | OMICS | Tools | Trending
IntelliGenes Unveiled: A New Paradigm for AI-Driven Biomarker Discovery from Multi-genomic Data
ByDr. Tamanna Anwar January 27, 2024October 22, 2026
IntelliGenes is a new machine learning pipeline developed by researchers at The State University of New Jersey that integrates multi-genomics, clinical, and demographic data to discover biomarkers for disease prediction with high accuracy. It implements Intelligent Gene (I-Gene) scoring to assess the significance of biomarkers and create individual profiles to understand disease prognosis. IntelliGenes is…
Read More IntelliGenes Unveiled: A New Paradigm for AI-Driven Biomarker Discovery from Multi-genomic Data
AI | Bioinformatics | Machine Learning | News | Paper Summary | Proteomics | Structural Biology | Tools | Trending
Unveiling the Future of Protein Design: RFdiffusion’s De Novo Revolution
ByDeotima Chakraborty January 26, 2024October 22, 2026
Protein design has seen significant progress, but a comprehensive deep-learning framework for protein design, including de novo binder design and higher-order symmetric architectures, remains unexplored. Diffusion models have shown success in image and language generative modeling but have limited success in protein modeling due to the complexity of protein backbone geometry and sequence-structure relationships. The…
Read More Unveiling the Future of Protein Design: RFdiffusion’s De Novo Revolution
AI | Bioinformatics | Deep Learning | Drug Discovery | LLM | News | Tools | Trending
Language Models Paired with Geometric Deep Learning Revolutionize Genome-scale Protein Binding Site Annotation
ByDeotima Chakraborty January 17, 2024October 22, 2026
Protein structures depend on nucleic acids and tiny ligands to establish binding sites. Accurate identification of these locations is necessary due to the exponential increase of protein sequence databases. However, the current approaches do not thoroughly address the geometry of protein structures and limit genome-scale applications by relying on costly multiple sequence alignments or experimental…
Read More Language Models Paired with Geometric Deep Learning Revolutionize Genome-scale Protein Binding Site Annotation
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Cracking the Code of Complex Diseases: Utilizing FORGEdb to Identify Functional Variants and Decipher Disease Mechanisms
ByDeotima Chakraborty January 9, 2024January 9, 2024
A majority of variations linked to disease that have been found by genome-wide association studies are not found in areas that code for proteins. It can be difficult to prioritize putative biological mechanisms for additional functional trials by identifying candidate regulatory variations and gene targets. In order to overcome this difficulty, scientists from the National…
Read More Cracking the Code of Complex Diseases: Utilizing FORGEdb to Identify Functional Variants and Decipher Disease Mechanisms

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