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Predicting Protein Dynamics with BioEmu: A New Frontier in Biomolecular Research

Deotima Chakraborty - 0
A major field of study is the scientific problem of predicting dynamical mechanisms in proteins after structural revolutions, with molecular dynamics simulations offering important...
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AI

How Does NeuralPLexer3 Combine Physics and Machine Learning for Superior Biomolecular Predictions?

Anchal Negi - 0
The quest to understand biomolecular interactions is central to advancing drug discovery, molecular biology, and bioengineering. A significant step in this journey is accurately...
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AI

FedPyDESeq2: Advancing Differential Expression Analysis with Federated Learning for Bulk RNA-Seq

Anchal Negi - 0
In genomics, the conventional approach for explaining any gene expression is to cross-analyze bulk RNA sequencing (RNA-seq) data. However, as researchers, more often than...
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AI

Decoding Protein Roles with ProCyon: A Unified Framework for Multiscale Phenotypes

Deotima Chakraborty - 0
About 20% of human proteins lack recognized functionalities, and over 40% lack context-specific functionals, underscoring the difficulties of comprehending these proteins and their varied...
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Bioinformatics

Streamlining Copy Number Variation Discovery: How CNV-Finder is Changing Genomics

Anchal Negi - 0
A prevailing challenge in genomics still revolves around the comprehension of structural variants, one of which is copy number variation (CNV). To undertake the...
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AI

Unlocking Protein Design with PLAID: A Sequence-Centric Generative Model for All-Atom Structures

Deotima Chakraborty - 0
The potential influence of generative models for protein design is drawing the attention of the scientific world. However, there are numerous modalities that mediate...
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AI

The Nucleotide Transformer: How Foundation Models are Shaping Human Genomics

Anchal Negi - 0
The field of genomics is ever-changing as a result of an increase in automation and aspects of biological engineering. A groundbreaking study led by...
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AI

Protein Language Visualizer: A New Era of Sequence Similarity Exploration

Deotima Chakraborty - 0
The availability of biological "big data" and the development of high-throughput sequencing technology have sped up the identification of new protein sequences, making it...
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AI

Unlocking the Potential of Equivariant Diffusion Models for Structure-Based Drug Design with DiffSBDD

Anchal Negi - 0
In the quest to create better and faster methods for drug discovery, a team of innovative researchers from various institutions has developed a groundbreaking...
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AI

Harnessing AI for Molecular Discovery: The Promise of Molecular Dynamics Language Models

Deotima Chakraborty - 0
Although molecular dynamics (MD) simulations provide accurate representations of the motion of molecular systems, molecular biology and materials science are challenged by the computational...
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Bioinformatics

Decoding the Genetic Mechanism of B Chromosome Drive in Rye

Anchal Negi - 0
The extra genetic material, which appears as 'B chromosomes,' has been a riddle for security for many species. They are of least concern for...
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AI

Streamlining High-Throughput Protein Complex Modeling with AlphaPulldown2

Deotima Chakraborty - 0
AlphaPulldown version 2.0, a noteworthy computational biology program that transforms protein structure modeling, is presented by researchers from the European Molecular Biology Laboratory, Hamburg,...
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AI

The G2PT Model: Bridging the Gap Between Genotype and Phenotype Using Hierarchical Transformers

Anchal Negi - 0
Gaining insight into the peculiar relationship between the genes we possess and the characteristics they express is undoubtedly one of the most intriguing quests...
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AI

Evolutionary Scale’s ESM Cambrian: Revolutionizing Protein Understanding at the Scale of Life with Unsupervised Learning

Anchal Negi - 0
Proteins are the most essential molecules for all forms of life on Earth. They perform a vast number of actions vital for life. However,...
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Bioinformatics

DRUG-seq: A Game-Changing Approach to Transcriptional Profiling in Drug Discovery

Dr. Tamanna Anwar - 0
The identification and comprehension of the mechanisms of potential drug compounds is a complex and expensive endeavor in the constantly changing pharmaceutical research landscape....
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AI

AI-Driven Macrocycle Design: How RFpeptides Generate High-Affinity Protein Binders for Diagnostics and Therapeutics

Deotima Chakraborty - 0
Large-scale screening techniques that are resource-intensive and offer limited control on binding mode are usually used to produce macrocyclic binders to therapeutic proteins. There...
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AI

Can InterPLM Decode the Hidden Language of Protein Modeling and Design AI?

Anchal Negi - 0
The emergence of Protein Language Models (PLMs) is changing biological research for the better through efficient prediction of functional annotations and protein structures. However,...
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AI

Learning from Extremophiles: HyperMPNN’s Revolutionary Approach to Thermostable Protein Design

Deotima Chakraborty - 0
Recombinant proteins must be stable in order to be used in biotechnological or medicinal applications. Both the creation of new proteins and the stabilization...
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AI

Unlocking the Power of Single-cell RNA Sequencing with scExplorer

Anchal Negi - 0
With its recent advancements, scRNA sequencing has enabled scientists to view the biological world at the most local of levels- the single cell. Thanks...
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Bioinformatics

Seamless Multi-Omics Integration Made Easy with iModMix

Deotima Chakraborty - 0
Integrating metabolomics with other omics and providing insights into the biology of disease requires bioinformatics competence. Integration is difficult with present approaches, though, as...
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AI-Powered SciAgents: Redefining Research in Complex and Interdisciplinary Scientific Domains

AI-Powered SciAgents: Redefining Research in Complex and Interdisciplinary Scientific Domains

Deotima Chakraborty - 0
In this work, researchers from MIT present an AI invention called SciAgents that solves hidden interdisciplinarity connections that were originally seen as distinct. The...
Aging Reimagined: The Power of Metabolomics and Machine Learning

Aging Reimagined: The Power of Metabolomics and Machine Learning

Anchal Negi - 0
A groundbreaking study conducted by researchers at the UK Biobank has unveiled a novel approach to understanding aging through metabolomics and machine learning. This...
Large Language Models Redefine Antigen-Specific Antibody Design

Large Language Models Redefine Antigen-Specific Antibody Design

Deotima Chakraborty - 0
Machine learning and artificial intelligence (AI), two recent developments in computational biology, have demonstrated important capabilities and benefits above conventional approaches. AI-based techniques have...
5 AI Trends Bioinformaticians Need to Know in 2025

Top 5 AI Trends Bioinformaticians Need to Know in 2025

Dr. Tamanna Anwar - 0
As we approach 2025, the integration of artificial intelligence (AI) into bioinformatics is set to transform the field dramatically. Bioinformaticians must stay abreast of...
Building the Virtual Cell: AI's Next Frontier in Biology

Building the Virtual Cell: AI’s Next Frontier in Biology

Anchal Negi - 0
Artificial Intelligence-powered Virtual Cells (AIVCs) are an exciting new cell-equivalent system. As the name states, AIVCs utilize complex algorithms of artificial intelligence to simulate...

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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