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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

Unlocking Chemical Space: TamGen’s Generative AI Approach for Target-Aware Molecule Generation in Drug Discovery

Deotima Chakraborty - 0
Novel compounds can be discovered in the wide chemical space due to generative drug design that enables one to develop molecules that are effective...
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AI

Exploring New Frontiers in SARS-CoV-2 Research with The Virtual Lab

Anchal Negi - 0
When COVID-19 emerged as a global catastrophe, the scientists had only one goal: to come up with the possible treatments for the virus SARS-CoV-2,...
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AI

RhoFold+: Transforming RNA 3D Structure Prediction with Deep Learning

Deotima Chakraborty - 0
Although RNA 3D structures are important in understanding their functions and in the design of new drugs, their accurate prediction is still a challenge....
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AI

Unlocking the Secrets of RNA: How RNA-GPT is Transforming the Way We Explore and Understand RNA

Deotima Chakraborty - 0
RNAs are crucial molecules that convey genetic information necessary for life, and they have a big impact on biotechnology and medicine development. However, the...
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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...
Predicting Protein Dynamics with BioEmu: A New Frontier in Biomolecular Research

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

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

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

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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