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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 - 0
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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AI

Decoding Thoughts into Words: A Breakthrough Brain-Computer Interface Lets Paralyzed Woman Speak via Neural Signals

Neegar Naushaba Iqbal - 0
In a groundbreaking advancement, researchers from Stanford University have developed a speech brain-computer interface (BCI) that holds significant promise for individuals with paralysis. By...
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AI

From Algorithms to Antibiotics: Harnessing Artificial Intelligence in the Search for Antimicrobial Peptides

Aditi Sarkar - 0
Faculties of the Mathematics Department at the University of Warsaw, Poland, have presented a review of the past two years progress of Artificial Intelligence...
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Bioinformatics

Scientists Assemble the First Complete Human Y Chromosome Sequence: A Milestone in Genomics Research

Neegar Naushaba Iqbal - 0
The sequencing and assembly of the human Y chromosome have been challenging due to its intricate repeat structure, which encompasses lengthy palindromes, tandem repeats,...
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AI

Unveiling Cellular Secrets: Visualizing Dynamic Biomolecular Machinery with CryoDRGN-ET

Neegar Naushaba Iqbal - 0
The advancement of cryo-electron tomography (cryo-ET) has opened novel avenues for visualizing the intricate structures of dynamic macromolecular assemblies within their natural cellular surroundings....
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AI

AI’s Quantum Leap into Bioengineering: Unleashing Language Models in Atom-by-Atom Protein Generation

Aditi Sarkar - 0
The University of Toronto researchers have explored the potential of Chemical Language Models (CLMs) to thrive as Biological Learning Models. In contrast to popular...
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AI

Stanford’s GEARS: An Innovative Approach to Predicting Transcriptional Outcomes of Multigene Perturbation

Neegar Naushaba Iqbal - 0
Understanding cellular responses to genetic changes holds vital importance in various biomedical contexts, such as uncovering cancer-related genetic interactions and advancing regenerative medicine. However,...
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AI

Meet DeepTracer-Refine: An Automated Refinement Approach for AlphaFold2 Predicted Protein Structures

Aditi Sarkar - 0
Scientists of the DeepTracer project have formulated DeepTracer-refine, an automated pipeline that consolidates the advantages of sequence-to-model and map-to-model strategies, complements their shortcomings, and...
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Must Read

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

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...
Bioinformatics Analysis Made Easy with a New Tool AutoBA

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

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

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...
the Link Between Stroke and Depression

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

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...

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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