LLM

AI | AMR Alert | Antibiotic Resistance | Bioinformatics | Deep Learning | Infectious Diseases | LLM | News | Paper Summary | Proteomics | Trending
Turning the Tide Against Antibiotic Resistance: Protein-BERT’s Accurate and Interpretable Predictions
ByAnchal Negi May 13, 2024October 22, 2026
Scientists from Waseda University and Hitachi, Ltd., Japan, developed a novel approach for predicting antibiotic resistance genes (ARGs) resistance mechanisms using Protein-BERT, a protein language model based on deep learning. This model excels at predicting resistance for genes with low similarity to known sequences. By analyzing biologically relevant features like conserved residues and binding sites,…
Read More Turning the Tide Against Antibiotic Resistance: Protein-BERT’s Accurate and Interpretable Predictions
AI | Algorithm | Bioinformatics | Health | LLM | Medical Informatics | News | Paper Summary | Trending
A New Era of AI in Medicine: Google’s Med-Gemini Sets New Standards
ByDeotima Chakraborty May 6, 2024October 22, 2026
AI faces significant obstacles in achieving excellence in a wide range of medical applications since it needs sophisticated reasoning, access to current medical information, and comprehension of complicated multimodal input. With their robust general abilities in multimodal and long-context reasoning, Gemini models present fascinating opportunities in medicine. Google researchers present Med-Gemini, a family of highly…
Read More A New Era of AI in Medicine: Google’s Med-Gemini Sets New Standards
AI | Bioinformatics | Computational Models | Data Analysis | LLM | News | OMICS | Paper Summary | Trending
Unveiling ChatNT: The Conversational AI Revolutionizing How We Explore DNA, RNA & Proteins
ByAnchal Negi May 6, 2024October 22, 2026
InstaDeep and BioNTech scientists introduced ChatNT, a multimodal conversational agent that has an advanced understanding of biological sequences like DNA, RNA, and proteins. ChatNT opens up biological data analysis and modeling capabilities to a wider user base via its conversational nature. After examining a lengthy segment of DNA, have you ever thought about what secrets…
Read More Unveiling ChatNT: The Conversational AI Revolutionizing How We Explore DNA, RNA & Proteins
AI | Bioengineering | Bioinformatics | CRISPR | LLM | News | Paper Summary | Trending
AI-Assisted Gene Editing: CRISPR-GPT, the Future of Efficient CRISPR Experiment Design
ByDeotima Chakraborty May 3, 2024October 22, 2026
The ability to precisely alter genes with CRISPR technology has revolutionized biomedical research. It does, however, take a thorough grasp of CRISPR technology and sophisticated experimental setups to design effective gene-editing systems. Despite its promise in various tasks, large language models (LLMs) sometimes lack specialized expertise and have difficulty correctly answering biological design puzzles. Researchers…
Read More AI-Assisted Gene Editing: CRISPR-GPT, the Future of Efficient CRISPR Experiment Design
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 | 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 | Bioengineering | Bioinformatics | Deep Learning | LLM | News | Paper Summary | Trending
UC Berkeley’s Breakthrough RNA Language Models Predict Mutations that Enhance RNA Function
ByAnchal Negi April 15, 2024October 22, 2026
A new tool from UC Berkeley can predict mutations that can improve the way how RNA works. By leveraging hyperthermophilic RNAs, the researchers identified mutations conferring increased thermostability to E. coli ribosomes, providing a foundation to understand RNA sequence-structure-function relationships. Introduction Do you remember what DNA is? It’s that molecule that contains all the information…
Read More UC Berkeley’s Breakthrough RNA Language Models Predict Mutations that Enhance RNA Function
AI | Bioinformatics | Cell | Genomics | LLM | News | Paper Summary | Trending
Unlocking Cell Biology with AI: How Large Language Models Comprehend the Complexity of Genes and Cells
ByAnchal Negi April 14, 2024October 22, 2026
Picture a world where computers can not only translate languages but also decipher biology’s convoluted language. This is the exciting frontier of Large Language Models (LLMs) that could transform our knowledge of genes and cells, which are the foundation of all life forms. Researchers from the Center, Chinese Academy of Sciences, China, explore this intriguing…
Read More Unlocking Cell Biology with AI: How Large Language Models Comprehend the Complexity of Genes and Cells
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
AI | Bioinformatics | LLM | News | Paper Summary | Trending
Can AI Agents Become the Next Big Breakthrough in Biomedical Research?
ByAnchal Negi April 11, 2024October 22, 2026
Imagine a world where scientific breakthroughs are not just solitary genius work but a collaboration between humans and a new breed of partners- AI lab assistants. It is not science fiction but rather an insight into the future of biomedical research shaped by “AI scientists.” Recently published article -” Empowering Biomedical Discovery with AI Agents,”…
Read More Can AI Agents Become the Next Big Breakthrough in Biomedical Research?
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 | 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
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 | 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
AI | Bioinformatics | LLM | News | Paper Summary | Structural Biology | Trending
Unveiling the Potential of RiNALMo: Advancing RNA Structure Prediction with General-Purpose RNA Language Models
ByDeotima Chakraborty March 8, 2024October 22, 2026
Numerous fundamental functions of ribonucleic acid (RNA) are involved in basic biological processes. It is imperative that we deepen our comprehension of the structures and activities of RNA, as it has emerged as an intriguing target for pharmaceuticals in recent times. Sequencing technologies have yielded vast amounts of unlabeled RNA data throughout the years, concealing…
Read More Unveiling the Potential of RiNALMo: Advancing RNA Structure Prediction with General-Purpose RNA Language Models
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 | Bioinformatics | LLM | Medical Informatics | News | Paper Summary | Trending
Meet GigaPevt: The Next-Gen Medical Assistant Powered by Multimodal AI
ByAnchal Negi March 3, 2024October 22, 2026
Building a smart and helpful medical assistant through AI is challenging. The healthcare industry has several obstacles, such as the increasing costs and shortage of skilled employees, and reaching remote locations is difficult. Patients commonly talk to medical assistants for guidance and help these days. They often see them as computer helpers that seem human….
Read More Meet GigaPevt: The Next-Gen Medical Assistant Powered by Multimodal AI
AI | Big Data | Bioinformatics | Data Analysis | LLM | News | Paper Summary | Trending
Can AI Assistants Crack Bioinformatics Challenges? A New Study Explores the Potential of Large Language Models
ByAnchal Negi March 2, 2024October 22, 2026
The scientific community may uncover the nature of life due to the great amount of biological data at its disposal. Implementing bioinformatics ensures converting this information into very valuable ones for decoding amino-acid sequences and the formation of new treatment strategies. However, the projects are big enough and need to be completed with modern techniques…
Read More Can AI Assistants Crack Bioinformatics Challenges? A New Study Explores the Potential of Large Language Models
AI | Bioinformatics | Genomics | LLM | News | Paper Summary | Trending
From Molecules to Genomes: Evo’s Trailblazing Approach to Sequence Modeling and Design
ByDeotima Chakraborty March 1, 2024October 22, 2026
The DNA, RNA, and proteins that control an organism’s entire functioning are all fully encoded in a sequence called the genome. Large-scale genome databases and machine learning advances may make it possible to create a biological foundation model that speeds up the generative design and mechanistic analysis of intricate molecular interactions. Researchers from Arc Institute, TogtherAI, and…
Read More From Molecules to Genomes: Evo’s Trailblazing Approach to Sequence Modeling and Design
AI | Bioinformatics | Cancer | LLM | Medical Informatics | News | Trending
Meet OncoGPT: Can This Medical Language Model Improve Communication and Support for Cancer Patients?
ByDr. Tamanna Anwar February 28, 2024October 22, 2026
OncoGPT is a customized language model created by Shenzhen Kanghua Juntai Biotech Co. Ltd. researchers in China that is intended to deliver precise medical recommendations for queries pertaining to oncology. Refined from more than 180K physician-patient exchanges, it offers precise guidance on questions about cancer. With its ability to alleviate the burden on healthcare providers…
Read More Meet OncoGPT: Can This Medical Language Model Improve Communication and Support for Cancer Patients?
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 | Health | LLM | Medical Informatics | News | Trending
Improving Patient Care: The Role of Large Language Models in Doctors’ Notes Analysis
ByDr. Tamanna Anwar February 21, 2024October 22, 2026
The digitization of health records has enabled powerful AI techniques to extract key medical insights from the vast trove of unstructured clinical notes. However, real-world deployment of such models faces risks from dataset shifts. In a new study, Johns Hopkins and Columbia researchers leverage recent advances in language models to improve model robustness across different…
Read More Improving Patient Care: The Role of Large Language Models in Doctors’ Notes Analysis
AI | Bioinformatics | Chemoinformatics | Computational Models | Drug Discovery | LLM | News | Paper Summary | Trending
Revolutionizing Drug Discovery with ChemGLaM: Chemical-Genomics Language Models for Compound-Protein Interaction Prediction
ByDeotima Chakraborty February 21, 2024October 22, 2026
Compound-protein interaction (CPI) prediction accuracy is crucial for drug discovery. Creating deep learning models that can be applied broadly requires expanding the CPI data through experimental validation. With their strong generalization performance in a range of tasks involving substances and proteins, large language models (LLMs) such as chemical and protein language models have become foundational…
Read More Revolutionizing Drug Discovery with ChemGLaM: Chemical-Genomics Language Models for Compound-Protein Interaction Prediction
AI | Bioinformatics | LLM | Machine Learning | News | Paper Summary | Proteomics | Trending
Unveiling DeepGO-SE: Advancing Protein Function Prediction Leveraging Language Models and GO Knowledge
ByDeotima Chakraborty February 19, 2024October 22, 2026
Gene Ontology is an axiomatic theory that describes the molecular roles, biological processes, and cellular placements of proteins using more than 100,000 axioms. Learning and reasoning skills are necessary for predicting the actions of proteins in order to preserve consistency and take advantage of prior knowledge. It is still difficult to apply all of the…
Read More Unveiling DeepGO-SE: Advancing Protein Function Prediction Leveraging Language Models and GO Knowledge
AI | Bioinformatics | Genomics | LLM | News | OMICS | Paper Summary
Meet DNABERT-S: Illuminating Genomic Diversity through Species-Aware DNA Embeddings
ByAnchal Negi February 18, 2024October 22, 2026
For scientists studying the functions of the genome, DNA embedding is a vital tool. Effective investigations like species categorization and metagenomics binning are made possible by converting unprocessed DNA sequences into comprehensible numerical representations. Modern embedding models, however, often require refinement, particularly when dealing with unlabeled data or sequences prone to errors. Researchers introduce DNABERT-S,…
Read More Meet DNABERT-S: Illuminating Genomic Diversity through Species-Aware DNA Embeddings
AI | Bioinformatics | Biotech | Genetic Engineering | LLM | News | Trending
Unlocking the Potential of RNA Design with Generative AI using GenerRNA
ByDr. Tamanna Anwar February 14, 2024October 22, 2026
A team of researchers from the University of Tokyo developed GenerRNA, the first large-scale pre-trained AI model for automated RNA design that does not require prior structural knowledge. Inspired by advances in protein language models, GenerRNA can generate a variety of RNAs for applications such as vaccines, therapeutics, and biotechnology. This model can generate new…
Read More Unlocking the Potential of RNA Design with Generative AI using GenerRNA
AI | Bioinformatics | Computational Models | Drug Discovery | LLM | News | Proteomics | Trending
GPCR-BERT: Revolutionizing GPCR Research with Protein Language Models
ByDr. Tamanna Anwar February 13, 2024October 22, 2026
Recent advances in large language models (LLMs) and transformers have opened new possibilities for modeling protein sequences as language. Carnegie Mellon University researchers have developed a new AI model called GPCR-BERT that leverages advances in natural language processing to uncover new insights into the sequence-function relationships in G protein-coupled receptors (GPCR), which are the target…
Read More GPCR-BERT: Revolutionizing GPCR Research with Protein Language Models
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 | Biomarker Discovery | LLM | News | Paper Summary | Trending
MarkerGeneBERT: Revolutionizing Cell Marker Extraction Utilizing Natural Language Processing
ByAnchal Negi February 10, 2024October 22, 2026
MarkerGeneBERT, a natural language processing (NLP) system to automatically extract cell type markers from single-cell sequencing literature by parsing full text, was recently introduced by Scientists from CapitalBio Technology, China. MarkerGeneBERT compiled markers for 1733 human and 1832 mouse cell types across tissues, achieving 75% precision and 76% recall. This cell marker gene identification method…
Read More MarkerGeneBERT: Revolutionizing Cell Marker Extraction Utilizing Natural Language Processing
AI | Bioinformatics | Drug Discovery | LLM | News | Trending
Unleashing nanoBERT: Revolutionizing Nanobody Therapeutics with Deep Learning
ByDr. Tamanna Anwar February 9, 2024October 22, 2026
Scientists from the University of Southern Denmark, NaturalAntibody and Alector Therapeutics unveil nanoBERT, a nanobody-specific transformer designed to predict amino acids in specific positions within query sequences. NanoBERT outperforms human-based language models and ESM-2, demonstrating the benefits of domain-specific language modeling. Fine-tuning on thermostability datasets shows promise for engineering therapeutic nanobodies. Nanobodies, also known as…
Read More Unleashing nanoBERT: Revolutionizing Nanobody Therapeutics with Deep Learning
AI | Bioinformatics | Cancer Research | LLM | News | Paper Summary | Trending
reguloGPT Unleashed: GPT-Powered Knowledge Graphs Illuminate Molecular Regulatory Pathways
ByDeotima Chakraborty February 7, 2024October 22, 2026
Understanding biological processes and offering organized representations of intricate relationships are made possible by Knowledge Graphs, or KGs. However, the resources available today to mine KGs from biomedical literature are insufficient. Though they present a promising approach, large language models (LLMs) like GPT-4 have not yet been fully investigated in terms of their potential for…
Read More reguloGPT Unleashed: GPT-Powered Knowledge Graphs Illuminate Molecular Regulatory Pathways
AI | Bioinformatics | LLM | News | Paper Summary | Structural Biology | Trending
Has ESM-2 Truly Learned the Language of Protein Folding?
ByAnchal Negi February 6, 2024October 22, 2026
Protein structure prediction and design may be accomplished using protein language models (pLMs). They may not completely comprehend the biophysics of protein structures, though. The researchers from Harvard University provided an analysis of the structure prediction capabilities of the flagship pLM ESM-2. They developed an unsupervised method for comparing coevolutionary statistics to previous linear models…
Read More Has ESM-2 Truly Learned the Language of Protein Folding?
AI | Bioinformatics | LLM | News | Paper Summary | Proteomics | Trending
PepHarmony: An Integrated Sequence and Structure-based Peptide Encoding Framework Employing Multi-view Contrastive Learning
ByAnchal Negi January 31, 2024October 22, 2026
Gaining insight into the relationship of the Peptide sequence (the amino acid sequence) and their structure (the way they fold and interact) is a difficult task. Already existing methods are not up to the mark. Thanks to the ever-evolving field of protein language models for providing us with a new solution called PepHarmony. Developed by researchers…
Read More PepHarmony: An Integrated Sequence and Structure-based Peptide Encoding Framework Employing Multi-view Contrastive Learning
AI | Bioinformatics | Computational Models | LLM | News | Paper Summary | Proteomics | Trending
Unveiling ProtHyena: A Fast and Efficient Protein Language Model for Analysis at Single Amino Acid Resolution
ByDeotima Chakraborty January 28, 2024October 22, 2026
The field of biological sequence analysis has lately benefited from the revolutionary changes brought about by the development of self-supervised deep language models for natural language processing tasks. Conventional models show significant effectiveness in a variety of applications. These models are mostly based on the Transformer and BERT architectures. However, the quadratic computational complexity O(L2)…
Read More Unveiling ProtHyena: A Fast and Efficient Protein Language Model for Analysis at Single Amino Acid Resolution
AI | Bioinformatics | Deep Learning | Drug Discovery | LLM | News | Paper Summary | Structural Biology | Trending
Meet Lingo3DMol: A Pocket-based 3D Molecule Generation Method Leveraging Language Models and Geometric Deep Learning
ByAnchal Negi January 27, 2024October 22, 2026
The drug development process involves a winding trail across the enormous chemical wilderness, looking for compounds that interact ideally with their target proteins. Traditional approaches, while successful, frequently stumble in the dark, unable to capture the delicate 3D pattern of particles and their interactions. But do not worry; scientists from Beijing StoneWise Technology Co Ltd, …
Read More Meet Lingo3DMol: A Pocket-based 3D Molecule Generation Method Leveraging Language Models and Geometric Deep Learning
AI | Bioinformatics | Computational Models | Drug Discovery | LLM | Machine Learning | News | Paper Summary | Structural Biology | Trending
Meet ChatDrug: A New ChatGPT-powered Conversational Drug Editing Framework
ByDeotima Chakraborty January 23, 2024October 22, 2026
Drug discovery is one of the many fields where recent developments in conversational large language models (LLMs), like ChatGPT, have shown incredible promise. However, the majority of the work that has already been done is on examining conversational LLMs’ skills with regard to chemical reactions and retrosynthesis. However, there is still much to learn about…
Read More Meet ChatDrug: A New ChatGPT-powered Conversational Drug Editing Framework
AI | Bioinformatics | LLM | Neuroscience | News | Trending
Unlocking Brain Mysteries with BrainLM: A Versatile Foundation Model for Recording Brain Activity
ByDeotima Chakraborty January 21, 2024January 21, 2024
The Brain Language Model (BrainLM), a foundation model for brain activity dynamics trained on 6,700 hours of functional magnetic resonance imaging (fMRI) scans, was introduced by researchers at Yale University. Through self-supervised masked-prediction training, BrainLM exhibits high performance on zero-shot inference and fine-tuning tasks. Accurate prediction of future brain states and clinical variables such as…
Read More Unlocking Brain Mysteries with BrainLM: A Versatile Foundation Model for Recording Brain Activity
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
AI | Antibiotic Resistance | Big Data | Bioinformatics | Drug Discovery | Education | Genomics | LLM | News | Trending
Top 10 Bioinformatics Breakthroughs of 2023!
ByDr. Tamanna Anwar January 1, 2024January 5, 2024
In 2023, bioinformatics discoveries have catalyzed immense progress across the life sciences landscape. These ground-breaking discoveries have provided insight into the complex workings of biological systems, processes, and disease states. From discovering new diagnostic markers to mapping the complexity of the brain, these innovations promise to transform medicine, evolution, and beyond. The pace of bioinformatics…
Read More Top 10 Bioinformatics Breakthroughs of 2023!
AI | Big Data | Bioinformatics | LLM | News | Trending
How Well Can LLMs Really Perform Bioinformatics Tasks? BioLLMBench Has Answers
ByDr. Tamanna Anwar December 26, 2023October 22, 2026
Artificial intelligence is transforming industries across the board, and the life sciences are no exception. A new study led by researchers at Anthropic, an AI safety startup based in San Francisco, published in Nature Biotechnology, demonstrates the immense potential of large language models (LLMs) like ChatGPT to serve as AI assistants for bioinformatics research. The paper…
Read More How Well Can LLMs Really Perform Bioinformatics Tasks? BioLLMBench Has Answers
AI | Chemoinformatics | Drug Discovery | LLM | News | Trending
A GPT-driven Robot Chemist Designs, Plans, and Performs Complex Experiments – All by Itself!
ByDr. Tamanna Anwar December 21, 2023October 22, 2026
Scientists at Carnegie Mellon University have unveiled a breakthrough artificial intelligence system called Coscientist that can independently design and execute complex chemistry experiments at the touch of a button. The system aims to accelerate discoveries across scientific domains by leveraging the raw reasoning power of models like GPT-4. Coscientist combines natural language processing prowess with tools enabling…
Read More A GPT-driven Robot Chemist Designs, Plans, and Performs Complex Experiments – All by Itself!
AI | Bioinformatics | Health | LLM | News | Trending
Google Unveils MedLM – New AI Models to Transform Healthcare
ByDr. Tamanna Anwar December 19, 2023October 22, 2026
Google recently announced the launch of MedLM, a family of large language models specifically fine-tuned to revolutionize medicine and life sciences. MedLM brings the power of Google’s state-of-the-art natural language processing to enhance healthcare delivery and medical discoveries directly. This represents a watershed moment as Google puts its vast AI resources behind transforming health outcomes…
Read More Google Unveils MedLM – New AI Models to Transform Healthcare
AI | Big Data | Bioinformatics | Genomics | LLM | News | OMICS | Paper Summary | Trending
Genome LLMs: Revolutionizing Genomics with Transformer-based Large Language Models
BySwasti Tyagi November 29, 2023November 29, 2023
Deep learning techniques have had a significant influence on genomics and the sequencing techniques employed in the field due to the exponential advancements in artificial intelligence (AI) and machine learning (ML) during the past ten years. The review article by a team led by researchers from the University of Toronto elucidates the advantages and drawbacks…
Read More Genome LLMs: Revolutionizing Genomics with Transformer-based Large Language Models
AI | Bioinformatics | Genomics | GWAS | LLM | News | NGS | Paper Summary | Precision Medicine | RNA-Seq | Tools | Trending
Alignment-Based DNA Language Models: The GPN-MSA Approach Enables Accurate Genome-wide Variant Effect Prediction
BySonal Keni October 29, 2023October 28, 2023
In the dynamic landscape of biology, researchers around the world aim to unlock the secrets held in the genetic code. With the introduction of whole genome sequencing, a new world was opened to science: one where genetic blueprints could be unraveled and studied with ease. Recently, the impact of genome-wide variants on human pathophysiology has…
Read More Alignment-Based DNA Language Models: The GPN-MSA Approach Enables Accurate Genome-wide Variant Effect Prediction
AI | Bioinformatics | Drug Discovery | LLM | Machine Learning | News | Paper Summary | Structural Biology | Trending
The Rise of Scientific Language Models: Revolutionizing Molecular Discovery
BySwasti Tyagi October 6, 2023October 22, 2026
In a groundbreaking collaboration spanning IBM Research in Switzerland and the USA, scientists have illuminated the pivotal role of language models (LMs) in molecular discovery. It has been determined that transformer-based architectures are the most popular forms of language models, enabling their widespread use in various domains of science. Due to this, the term ‘scientific…
Read More The Rise of Scientific Language Models: Revolutionizing Molecular Discovery
AI | Bioinformatics | Drug Discovery | LLM | News | Paper Summary | Tools | Trending
DrugChat: A ChatGPT-like System for Drug Compound Discovery
BySwasti Tyagi September 24, 2023January 23, 2024
A team of researchers at the University of California, San Diego, came together to develop a chatbot specifically catered to drug discovery called DrugChat. It is similar to ChatGPT on the basis that users can give question prompts to the model on any drug compound under study after uploading the drug’s molecular graph and can…
Read More DrugChat: A ChatGPT-like System for Drug Compound Discovery

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