Artificial Intelligence

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 | Drug Discovery | Knowledge Graph | News | Paper Summary | Trending
Can AI Help Us Discover New Drugs Faster? Unveiling MegaKG, the Explainable Knowledge Graph
ByAnchal Negi April 4, 2024October 22, 2026
Drug discovery has traditionally been a tedious and difficult process characterized by sifting through large amounts of data, which may be about to get a disruptive roadmap. A new research study by researchers from MegaRobo Technologies, China, describes MegaKG, an enormous knowledge graph merging information from twenty-three different sources. This AI-powered KG does not just…
Read More Can AI Help Us Discover New Drugs Faster? Unveiling MegaKG, the Explainable Knowledge Graph
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 | 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
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?
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 | AMR Alert | Bioinformatics | Drug Discovery | News | Paper Summary | Trending
AI vs. Superbugs: A New Generative AI Model ‘SyntheMol’ Designs Powerful Antibiotics to Fight Resistant Bacteria
ByDeotima Chakraborty March 25, 2024October 22, 2026
AI is being used to find novel antibiotics for bacteria resistant to pandemics; however, the currently used techniques have serious drawbacks. While generative models design molecules—which are difficult to synthesize—property prediction models, which assess molecules individually, have difficulty scaling to enormous chemical spaces. The generative model SyntheMol, which creates readily synthesizable chemicals from a chemical…
Read More AI vs. Superbugs: A New Generative AI Model ‘SyntheMol’ Designs Powerful Antibiotics to Fight Resistant Bacteria
AI | Bioinformatics | Covid-19 News | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Trending
Creating Antibodies from Scratch: Scientists Design Single-Domain Antibodies with Atomic Precision Using AI
ByDeotima Chakraborty March 21, 2024October 22, 2026
The inability to logically design new antibodies that bind a particular epitope on a target persists despite the crucial role that antibodies play in contemporary medicine. Instead, time-consuming animal immunization procedures or library screening techniques are currently used in antibody development. Here, scientists from the University of Washington show that user-specified epitopes can be bound…
Read More Creating Antibodies from Scratch: Scientists Design Single-Domain Antibodies with Atomic Precision Using AI
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 | Trending
Exploring the Boundless Frontiers of Biomolecular Modeling and Design with RoseTTAFold All-Atom
ByDeotima Chakraborty March 14, 2024October 22, 2026
Models like AlphaFold2 (AF2) and RoseTTAFold, a modified structural biology tool, have not been able to replicate well the interactions or covalent changes with tiny molecules that are essential to biological activity. Here, researchers from the University of Washington describe RoseTTAFold All-Atom (RFAA), a deep network that, given the sequences of the polymers and the…
Read More Exploring the Boundless Frontiers of Biomolecular Modeling and Design with RoseTTAFold All-Atom
AI | Bioinformatics | Cancer Research | News | Paper Summary | Trending
Prostate Cancer: Beyond One Disease? AI Uncovers Hidden Diversity
ByAnchal Negi March 13, 2024October 22, 2026
Prostate cancer remains a significant health threat for men globally. The development of cancer is an evolutionary process involving the sequential acquisition of genetic alterations that disrupt normal biological processes, enabling tumor cells to proliferate and ultimately invade and metastasize to other tissues rapidly. New research sheds light on how a prostate cancer diagnosis can…
Read More Prostate Cancer: Beyond One Disease? AI Uncovers Hidden Diversity
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 | Gene Expression | Genomics | News | Paper Summary | Sequencing | Trending
Unraveling Genetic Mysteries with Proformer: A Hybrid Macaron Transformer Model
ByDeotima Chakraborty March 4, 2024October 22, 2026
The ability to comprehensively decode the cis-regulatory logic that controls the expression values is made possible by the revolutionary high-throughput measurement of the cis-regulatory activity of millions of randomly produced promoters. Researchers from the University of Minnesota developed an end-to-end transformer encoder architecture called Performer to predict the expression values from DNA sequences. Proformer is…
Read More Unraveling Genetic Mysteries with Proformer: A Hybrid Macaron Transformer 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 | 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 | 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 | Deep Learning | Drug Discovery | News | Structural Biology | Trending
PocketGen: A Novel Deep Generative Model for Designing Protein Binding Sites
ByDr. Tamanna Anwar March 1, 2024October 22, 2026
The ability to accurately model and redesign ligand binding sites (pockets) on protein surfaces holds tremendous value across fields like drug discovery, enzyme engineering, and biosensing. However, effectively generating protein pockets tailored to recognize user-defined small molecules has remained challenging. Recent research from the University of Science and Technology of China details PocketGen – an…
Read More PocketGen: A Novel Deep Generative Model for Designing Protein Binding Sites
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 | 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
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
AI | Bioinformatics | Biomarker Discovery | Computational Models | Disease Diagnosis | News | Paper Summary | Trending
A Novel GNN Model ‘PathFormer’ Revolutionizes Highly Accurate Disease Diagnosis and Reproducible Biomarker Identification
ByDeotima Chakraborty February 17, 2024October 22, 2026
When analyzing omics data, regression analysis is an essential tool for identifying biomarkers. For the analysis of graph-structured data, graph neural networks (GNNs) are the most popular deep learning model. Their ability to consistently identify biomarkers across several datasets and their prediction accuracy is, nevertheless, limited. These difficulties arise from the distinct graph structure of…
Read More A Novel GNN Model ‘PathFormer’ Revolutionizes Highly Accurate Disease Diagnosis and Reproducible Biomarker Identification
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 | 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 | 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 | 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 | Bioengineering | Bioinformatics | News | Paper Summary | Proteomics | Trending
Transforming Protein Engineering with UW-Madison’s Self-Driving Labs ‘SAMPLE’: A Cutting-edge, AI-driven Fully Autonomous Platform
ByDeotima Chakraborty January 24, 2024October 22, 2026
Although the field of protein engineering offers countless applications in chemistry, energy, and medicine, the process of designing new proteins with enhanced or unique functionalities is still labor-intensive, slow, and ineffective. The Self-driving Autonomous Machines for Protein Landscape Exploration (SAMPLE) platform for completely autonomous protein engineering is presented here by researchers from the University of…
Read More Transforming Protein Engineering with UW-Madison’s Self-Driving Labs ‘SAMPLE’: A Cutting-edge, AI-driven Fully Autonomous Platform
AI | Big Data | Bioinformatics | Cancer Research | Disease Diagnosis | Health | Neural Network | News | Paper Summary | Trending
MIT Introduces PRISM: Advancing Early Detection of Lethal Pancreatic Cancer with AI-Driven Risk Prediction Models
ByAnchal Negi January 22, 2024October 22, 2026
Pancreatic ductal adenocarcinoma (PDAC) is an extremely aggressive cancer with a poor prognosis, owing mostly to late diagnosis. Expanding screening beyond the 10% now eligible due to genetic susceptibility is critical for early detection and enhanced survival. MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) scientists, alongside Limor Appelbaum, a staff scientist in the Department…
Read More MIT Introduces PRISM: Advancing Early Detection of Lethal Pancreatic Cancer with AI-Driven Risk Prediction Models
AI | Bioinformatics | CRISPR | Machine Learning | News | Paper Summary | Trending
Fighting Pathogens Smarter: How Machine Learning and Data Integration Improves Bacterial CRISPRi Guide Efficiency Prediction
ByAnchal Negi January 19, 2024January 19, 2024
CRISPR interference (CRISPRi) is one of the most widely used CRISPR technologies in bacteria. In this, a catalytically dead Cas protein incapable of DNA cleavage (dCas) is targeted to interfere with the transcription of a gene of choice. Due to complex interactions between guide sequences predicting it accurately remains a challenge. To tackle this problem,…
Read More Fighting Pathogens Smarter: How Machine Learning and Data Integration Improves Bacterial CRISPRi Guide Efficiency Prediction
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Trending
High-throughput ADMET Properties Prediction Made Easy with ADMET-AI: A New Platform for Large-scale Chemical Libraries Evaluation
ByAnchal Negi January 13, 2024October 22, 2026
A vital step in drug discovery is accurately evaluating potential drug candidates’ Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET). Traditionally, this process has been time-consuming, expensive, and even limited to small compound libraries, making it difficult to test larger libraries. Recently, a group of researchers developed ADMET-AI, a simple, fast, and accurate platform for ADMET…
Read More High-throughput ADMET Properties Prediction Made Easy with ADMET-AI: A New Platform for Large-scale Chemical Libraries Evaluation
AI | Bioinformatics | Machine Learning | Neural Network | Neuroscience | News | Paper Summary | Trending
New Principles Underlying Neural Activity Discovered With Startling Implications For Machine Learning
BySonal Keni January 12, 2024January 11, 2024
One of the biggest challenges in the machine learning space today is the problem of credit assignment: the identification of the components within the information processing pipeline and pinpointing which are responsible for any errors that crop up in the output generated by the algorithm. The common assumption is that the problem is best resolved…
Read More New Principles Underlying Neural Activity Discovered With Startling Implications For Machine Learning
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending
Designing Drug-like Molecules with DrugHIVE: A Deep Hierarchical Variational Autoencoder for the Structure-based Design
ByDeotima Chakraborty December 28, 2023January 4, 2024
Due to the rapid advancements in AI, structure-based medication design is now widely used as one of the most important methods in early drug development. AI’s deep generative modeling is expanding molecular design beyond classical methods by learning essential intra- and intermolecular interactions from available data, thanks to the increase of crystal structure data and…
Read More Designing Drug-like Molecules with DrugHIVE: A Deep Hierarchical Variational Autoencoder for the Structure-based Design
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 | Antibiotic Resistance | Bioinformatics | Deep Learning | Drug Discovery | Infectious Diseases | News | Paper Summary | Trending
MIT Researchers Use AI to Design New Class of Antibiotic Candidates in the Fight Against Superbugs
BySonal Keni December 26, 2023January 4, 2024
Since the discovery of penicillin, a large number of antibiotics have been developed and used all over the world as a means to cure disease. While this has been a boon for humanity, allowing for the easy, effective, and cheap treatment of microbial disease, its misuse has also resulted in many pathogens developing resistance to…
Read More MIT Researchers Use AI to Design New Class of Antibiotic Candidates in the Fight Against Superbugs
AI | Bioinformatics | Data Science | Health | News | Trending
New AI Model Predicts Life Outcomes from Health and Career Data
ByDr. Tamanna Anwar December 20, 2023October 22, 2026
Artificial intelligence continues advancing into uncharted territory, now claiming the ability to peek into people’s futures. Researchers from the Technical University of Denmark have developed a machine learning algorithm that can predict various life outcomes, like income and mortality risk, based solely on patterns gleaned from Danish national population registers. A recent study in Nature Computational…
Read More New AI Model Predicts Life Outcomes from Health and Career Data
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 | Biomedical Engineering | Disease Diagnosis | Health | Medical Informatics | News | Trending
A New Era in Diabetes Assessment: Skin Scanner and AI Score Disease Severity
ByDr. Tamanna Anwar December 13, 2023October 22, 2026
A new non-invasive imaging technique called raster-scan optoacoustic mesoscopy (RSOM) shows promise for detecting diabetes progression and severity by visualizing microscopic changes in the skin’s blood vessels. Recently published research from the Technical University of Munich (TUM) and Helmholtz Munich reveals RSOM’s ability to create detailed three-dimensional maps of the skin’s microvasculature down to capillary…
Read More A New Era in Diabetes Assessment: Skin Scanner and AI Score Disease Severity
AI | Bioinformatics | Deep Learning | Drug Discovery | News | Paper Summary | Proteomics | Structural Biology | Trending
Decoding the Protein-Ligand Enigma: A Deep Dive into Deep Learning Approaches for Binding Affinity Prediction
ByDeotima Chakraborty November 30, 2023November 30, 2023
Researchers from the University of Edinburgh, UK, explore the impact of ligand and protein encodings on binding affinities prediction for different data sets, a crucial aspect of drug development and discovery. Sequence-based deep learning, convolutional neural network-based encodings, and graph neural network-based encodings were used to investigate protein roles. Graph-neural networks were used to construct…
Read More Decoding the Protein-Ligand Enigma: A Deep Dive into Deep Learning Approaches for Binding Affinity Prediction
AI | Bioinformatics | Health | Machine Learning | Medical Informatics | News | Trending
New Machine Learning Technique Predicts Cancer Patient Cure Rates More Accurately
ByDr. Tamanna Anwar November 24, 2023October 22, 2026
As computing power has exponentially grown, machine learning (ML) techniques have gained immense popularity in healthcare – including predicting outcomes for patients with devastating illnesses like cancer. By estimating survival rates and life expectancy, statistical models help patients and doctors make difficult treatment decisions, weighing benefits against risks. Now, researchers at The University of Texas…
Read More New Machine Learning Technique Predicts Cancer Patient Cure Rates More Accurately
AI | Bioinformatics | Machine Learning | News | Paper Summary | Proteomics | Structural Biology | Trending
Protein Engineering Tournament: A Competition Aiming to Revolutionize Computational Protein Design
BySonal Keni September 29, 2023October 22, 2026
Protein engineering is an emerging field in biological research – the improvement of existing proteins or the creation of new ones in order to improve efficiency or perform new functions has proved to be a field with much potential. Despite advancements in the field making protein engineering a sought-after field for industrial applications, it is…
Read More Protein Engineering Tournament: A Competition Aiming to Revolutionize Computational Protein Design
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Trending
Achieving RNA’s AlphaFold Moment: How Close Are We?
BySwasti Tyagi September 26, 2023February 6, 2024
AlphaFold’s breakthrough in solving the protein structure prediction problem has ignited enthusiasm to apply similar methods to predict the 3D structures of RNAs. However, achieving this feat presents significant challenges. A review paper titled ‘When will RNA get its AlphaFold moment?’ recently published in Nucleic Acids Research, discusses, in-depth, the various challenges faced by scientists over the…
Read More Achieving RNA’s AlphaFold Moment: How Close Are We?
AI | Big Data | Bioinformatics | Data Science | Deep Learning | Genomics | Health | Neural Network | News | Trending
Large Language Models Offering Solutions to Tackle Biological Complexity
ByNeegar Naushaba Iqbal September 6, 2023January 1, 2024
Large Language Models (LLMs) have emerged as dynamic tools with the ability to transform the landscape of biological research in a world driven by data and technology. These advanced AI models, including well-known names like BERT and GPT, are not confined to linguistics but have found their way into the complex realm of biology. In…
Read More Large Language Models Offering Solutions to Tackle Biological Complexity

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