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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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AI

From Concept to Reality: Efficient Protein Pocket Design with PocketGen

Anchal Negi - 0
Protein pockets have been an integral part of drug discovery for several years and are also targeted during the design of novel molecules. Pockets...
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AI

Evo: A Genomics Foundation Model Redefining Sequence Modeling and Design

Deotima Chakraborty - 0
The DNA sequences of all living organisms hold the fundamental instructions for life. Massive datasets of entire genomes, together with machine learning advancements, may...
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AI

Innovating Through Collaboration: The Protein Engineering Tournament’s Impact on Computational Design

Neermita Bhattacharya - 0
Protein engineering heavily relies on generating sequences using computational models. Limitations such as lack of benchmarking opportunities, scarcity of large protein function datasets, and...
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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...

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

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...
The Nucleotide Transformer: How Foundation Models are Shaping Human Genomics

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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