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Google’s DeepMind Unveils AlphaMissense: A Breakthrough AI Tool for Decoding Genetic Enigmas

Prachi Khare - 0
Google's DeepMind scientists have made a monumental stride with the inception of AlphaMissense, an AI tool that can pinpoint genes responsible for diseases. This...
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AI

Machine Learning and Phylogenetic Analysis Join Forces to Predict Antibiotic Resistance in Pathogenic Bacteria

Sonal Keni - 0
Tuberculosis has been known to be a significant threat for many years now. Despite the development of a number of preventative strategies and medications,...
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AI

Meet DRfold: A Novel Method to Predict RNA Tertiary Structures with Unprecedented Accuracy

Prachi Khare - 0
RNAs are essential components of physiological activities, however, accurately modeling their structures has long posed a challenge due to their complex structures. The National...
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AI

Meet AutoBA: A New Tool Making Bioinformatics Analysis Easy

Sonal Keni - 0
Recent advancements in technology have now made it feasible for scientific researchers to be able to collect large amounts of biological data using a...
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AI

CodonBERT: A New Large Language Model Could Help Design Optimized mRNA Vaccines and Therapeutics

Swasti Tyagi - 0
A team of researchers at Digital R&D, Sanofi, USA, developed CodonBERT, a transformer-based large language model that is used for performing tasks related to...
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Bioinformatics

Large Language Models Meet Single Cell Transcriptomics: Unlocking Biological Insights with Cell2Sentence

Prachi Khare - 0
Large language models, such as GPT (Generative Pre-trained Transformer), have showcased remarkable proficiency in various natural language processing tasks. Their ability to understand and...
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AI

Machine Learning Predicts Mood in Chronic Stroke Patients and Identifies the Link Between Stroke and Depression

Dr. Tamanna Anwar - 0
Stanford's scientists used Machine Learning to elucidate the relationship between stroke and depression by identifying a biomarker in stroke survivors. The findings may provide...
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Bioinformatics

Virtual Drug Screening with Less Data: Boosting Predictions with Transfer Learning and Kernel Methods

Swasti Tyagi - 0
A team of researchers at the Eric and Wendy Schmidt Centre at the Broad Institute of MIT and Harvard developed a model that uses...
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Bioinformatics

3Dmapper: A New Tool for Mapping Genetic Variants to Protein Structures at BioBank Scale

Sonal Keni - 0
Centuries after the first proteins were identified and characterized, their complexity proves a challenge for scientists all over the world. Their creation, evolution, and...
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AI

PeptideBERT: A Transformer-based Language Model for Predicting Peptide Properties using Amino Acid Sequences

Swasti Tyagi - 1
Scientists at Carnegie Mellon University, USA, introduced PeptideBERT, a language model that is capable of predicting the properties of proteins and peptides solely based...
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Bioinformatics

Deep Learning Powers New Methods for Protein Remote Homology Detection and Structural Alignment

Prachi Khare - 0
Comprehending sequence–structure–function relationships is challenging for proteins with low similarity to existing proteins. New and improved alignment approaches are required for such proteins to...
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AI

Meet BARNACLE: A New Tool to Predict RNA Contacts using Data Efficient Deep Learning

Prachi Khare - 0
In the pursuit of understanding how RNA structure and function are related, predicting RNA structures becomes a tool alongside experimental approaches. However, the limited...
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Algorithm

Meet HighFold: An AlphaFold-based Algorithm to Predict Cyclic Peptide Monomers and Complexes with Precision

Swasti Tyagi - 0
Cyclic peptides represent an emerging class of drugs that combine the advantageous attributes of small molecules with those of antibodies or protein-based therapeutics. Scientists...
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AI

Meet XVir: A Promising Transformer-based Approach to Spot Viral Reads in Human Cancer Samples

Swasti Tyagi - 0
A team of researchers at The University of Texas at Austin developed a novel algorithm, XVir, that combines deep learning methods and transformers to...
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AI

Large Language Models Offering Solutions to Tackle Biological Complexity

Neegar Naushaba Iqbal and Dr. Tamanna Anwar - 0
Large Language Models (LLMs) have emerged as dynamic tools with the ability to transform the landscape of biological research in a world driven by...
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Big Data

Meet Flow: An Ultimate Bioinformatics Data Analysis and Management Solution

Swasti Tyagi - 0
Scientists at King's College London, UK, and collaborators have introduced 'Flow,' an open-access web platform to perform bioinformatics analysis. Flow provides the capability to...
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AI

ChatGPT Empowers Clinical Decision Making with Impressive Accuracy

Swasti Tyagi - 0
The large-language model (LLM)-based model, ChatGPT, had its clinical decision-making abilities put to the test in a joint study by researchers from Harvard Medical...
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AI

Revolutionizing Parkinson’s Care: Harnessing Artificial Intelligence to Detect Disease Severity at Home

Swasti Tyagi - 0
A team of researchers has recently developed an Artificial Intelligence (AI) based model for detecting the severity of the disease's progression and its symptoms...
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AI

Oxford Researchers Develop a Machine Learning Model to Predict 10-Year Breast Cancer Mortality Risk

Aditi Sarkar - 0
A group of researchers affiliated with Oxford University, UK, have developed a prognostic model backed by the most extensive information set spanning a national,...
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Bioinformatics

Meet FateMap: A Barcoding Approach to Decode Why Certain Cells Resist Anti-Cancer Therapies

Swasti Tyagi - 0
A collaborative research effort led by scientists and engineers at the University of Pennsylvania and Northwestern University led to the development of FateMap, a...
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Must Read

MitoSpace creates the first atlas of drug-induced mitochondrial phenotypes.

MitoSpace: A Novel Mitochondrial Phenotypic Atlas for Drug Discovery and Diagnostics

Swasti Tyagi - 0
A collaborative effort between the Departments of Pharmacology, Chemistry, and Biochemistry at the University of California, San Diego, led to the development of MitoSpace,...
Streamlining Differential Expression Analysis on Bulk RNA-seq Data with PyDESeq2

Streamlining Differential Expression Analysis on Bulk RNA-seq Data with PyDESeq2

Dr. Tamanna Anwar - 0
Exploring bulk RNA-seq data has become a cornerstone for uncovering crucial insights into gene expression patterns and their relationship to phenotypes in biomedical research....
Achieving RNA's AlphaFold Moment: How Close Are We?

Achieving RNA’s AlphaFold Moment: How Close Are We?

Swasti Tyagi - 0
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,...
Accurate Annotations of Eukaryotic Genomes using RNA-Seq Data Made Easy: The BRAKER3 Advantage

Accurate Annotation of Eukaryotic Genomes Made Easy: The BRAKER3 Advantage

Prachi Khare - 0
Researchers from the University of Greifswald, Germany, introduced a new version of the BRAKER software BRAKER3, notably improving the annotation of eukaryotic genomes. Its...
DrugChat: A ChatGPT-like System for Drug Compound Discovery

DrugChat: A ChatGPT-like System for Drug Compound Discovery

Swasti Tyagi - 0
A team of researchers at the University of California, San Diego, came together to develop a chatbot specifically catered to drug discovery called DrugChat....

CBIRT provides short term training in bioinformatics for students/researchers/life science graduates, etc. The program aims at providing rigourous training required to excel in current dynamic scientific research environment. For more details

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