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Decoding Complex Interactions: How AlphaBridge Enhances Macromolecular Structure Interpretation
ByDeotima Chakraborty November 2, 2024October 22, 2026

Scientists can now model interactions and assess the possibility that proteins will form multimers or interact with other proteins or nucleic acids thanks to artificial intelligence (AI), which is transforming the prediction of macromolecular structures. As a result, there is an increasing demand for effective assessment tools. In this study, researchers from the Netherlands Cancer…

Read More Decoding Complex Interactions: How AlphaBridge Enhances Macromolecular Structure Interpretation
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Are We Closer to Mapping the Full Conformational Landscape of Proteins?
ByAnchal Negi September 5, 2024October 22, 2026

Proteins perform enormous tasks in our cells as molecular machines. These functions rely on the structural plasticity or the ability to adopt multiple shapes of the corresponding molecules. This is why knowledge of the conformational flexibility of proteins is very important in their function. A new tool, called Cfold, has been developed by scientists from…

Read More Are We Closer to Mapping the Full Conformational Landscape of Proteins?
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Unlocking Protein Secrets: AlphaFold-SFA’s Breakthrough in Cryptic Pocket Discovery
ByDeotima Chakraborty September 4, 2024October 22, 2026

Rare events in proteins, which are essential for comprehending intricate phenomena like transitory structural changes and protein-ligand interactions, are frequently missed by unbiased molecular dynamics. The high free energy barrier separating metastable states is the cause of this comprehension gap in these processes. In this work, a novel unsupervised learning technique called slow feature analysis…

Read More Unlocking Protein Secrets: AlphaFold-SFA’s Breakthrough in Cryptic Pocket Discovery
AI | Bioinformatics | Molecular Dynamics | News | Structural Biology | Tools

Predicting Multiple Conformations and Ensembles with AFsample2: An AlphaFold2 Extension
ByAnshika Gupta June 6, 2024October 22, 2026

Acting as enzymes, structural elements, and molecular motors, proteins represent the molecular drive of biological systems, the elucidation of which relies on the explication of conformational transitions. In a recent study by Linköping University, Sweden, researchers got into the issue of protein conformational sampling, stating that there are limitations to current methods and that AFsample2…

Read More Predicting Multiple Conformations and Ensembles with AFsample2: An AlphaFold2 Extension
AI | Bioinformatics | Database | Machine Learning | News | Paper Summary | PPI | Structural Biology | Trending

A New Era in Interactomics: Exploring Predictomes, the AlphaFold-Modeled Protein Interaction Database
ByAnchal Negi April 20, 2024October 22, 2026

Imagine a teeming city where proteins are the movers and shakers. Each protein intertwines with others in partnerships that are vital to every cellular process. Nevertheless, unraveling these interactions, which are called protein-protein interactions (PPIs), forms the basis for both biology and drug development. Detecting PPIs has been akin to overhearing hushed conversations in a…

Read More A New Era in Interactomics: Exploring Predictomes, the AlphaFold-Modeled Protein Interaction Database
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Precision Medicine | Structural Biology | Tools | Trending

Brown University’s Subsampled AlphaFold2 Approach for Predicting Protein Dynamics: A Game-changer for Drug Discovery?
ByAnchal Negi March 30, 2024October 22, 2026

Proteins are life’s molecular workhorses and play crucial roles in every biological process. Understandably, their complex shapes, also known as conformations, are the key that unlocks their secrets to new drug development. Proteins are not still statues but rather change into different conformations like ninjas to play different functions. This movement of protein has been…

Read More Brown University’s Subsampled AlphaFold2 Approach for Predicting Protein Dynamics: A Game-changer for Drug Discovery?
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AlphaFLOW and ESMFLOW: A New Approach to Modeling Protein Ensembles with Combined Power of AlphaFold and Flow Matching
ByDeotima Chakraborty February 28, 2024October 22, 2026

Dynamic structural ensembles play a major role in the biological functions of proteins. For the purpose of learning and sampling the conformational landscapes of proteins, researchers create a flow-based generative modeling technique in this work. Sequence-conditioned generative models of protein structure are produced by optimizing the highly accurate single-state predictor AlphaFold technique within a unique…

Read More AlphaFLOW and ESMFLOW: A New Approach to Modeling Protein Ensembles with Combined Power of AlphaFold and Flow Matching
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending

Unlocking New Frontiers in Drug Design with PCMol: Integrating AlphaFold and De Novo Approaches
ByDeotima Chakraborty February 24, 2024October 22, 2026

Deep learning-based virtual screening provides a more effective way to find molecules that resemble drugs, and virtual sources give chemists useful information. Leiden University researchers present PCMol, a multi-target model that trains the de novo generative model on target proteins using the latent embeddings extracted from AlphaFold. Protein descriptors are a useful tactic for expanding…

Read More Unlocking New Frontiers in Drug Design with PCMol: Integrating AlphaFold and De Novo Approaches
AI | Bioinformatics | News | Paper Summary | Proteomics | Structural Biology | Tools | Trending

AlphaFind: A New Frontier in Proteomic Exploration
ByDeotima Chakraborty February 22, 2024October 22, 2026

Effective structure-based search tools are necessary to efficiently organize the massive volume of data in the database. Novel tools like FoldSeek and 3D-surfer have been developed as a result of the inability of existing tools like PDBeFold to handle huge datasets. However, they are limited in their functionality by the fact that they can’t search…

Read More AlphaFind: A New Frontier in Proteomic Exploration
AI | Bioinformatics | LLM | News | Paper Summary | Proteomics | Trending

PepHarmony: An Integrated Sequence and Structure-based Peptide Encoding Framework Employing Multi-view Contrastive Learning
ByAnchal Negi January 31, 2024October 22, 2026

Gaining insight into the relationship of the Peptide sequence (the amino acid sequence) and their structure (the way they fold and interact) is a difficult task. Already existing methods are not up to the mark. Thanks to the ever-evolving field of protein language models for providing us with a new solution called PepHarmony. Developed by researchers…

Read More PepHarmony: An Integrated Sequence and Structure-based Peptide Encoding Framework Employing Multi-view Contrastive Learning
Bioinformatics | News | Paper Summary | Structural Biology | Trending

Exploring the Diversity of Scavenger Receptor Class B Proteins Across Eukarya: An In-Depth Analysis through Phylogenetic and Protein Structure Analyses
ByDeotima Chakraborty January 6, 2024January 6, 2024

The class B scavenger receptor (SR-B) proteins, which are essential for innate immunity, pathogen identification, apoptotic cell clearance, and metabolic sensing, have an ectodomain called the CD36 domain. Previous research has suggested that SR-B proteins are old, although their diversity within Eukarya is yet unknown. The University of Miami researchers examined SR-B homologs found in…

Read More Exploring the Diversity of Scavenger Receptor Class B Proteins Across Eukarya: An In-Depth Analysis through Phylogenetic and Protein Structure Analyses
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Trending

AlphaFold’s Latest Strides: Improved Accuracy for Antibody-Antigen Complex Modeling
BySonal Keni January 5, 2024January 5, 2024

The launch of AlphaFold signaled a revolution in computational modeling: armed with new knowledge of protein structures and unencumbered by limitations on resources and time, scientists were able to use the tool to further their understanding of protein structure, functionality, and interactions. However, AlphaFold’s success in the realm of antibody-antigen modeling is limited. A new…

Read More AlphaFold’s Latest Strides: Improved Accuracy for Antibody-Antigen Complex Modeling
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Trending

Achieving RNA’s AlphaFold Moment: How Close Are We?
BySwasti Tyagi September 26, 2023February 6, 2024

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, achieving this feat presents significant challenges. A review paper titled ‘When will RNA get its AlphaFold moment?’ recently published in Nucleic Acids Research, discusses, in-depth, the various challenges faced by scientists over the…

Read More Achieving RNA’s AlphaFold Moment: How Close Are We?
AI | Algorithm | Bioinformatics | Database | Drug Discovery | News | Structural Biology | Tools | Trending

Deepmind’s AlphaFold Predicted the Structures of all the Proteins Known to Science, Expanding the AlphaFold DB by Over 200x
ByDr. Tamanna Anwar July 30, 2022October 22, 2026

The AlphaFold Protein Structure Database, created by DeepMind and EMBL’s European Bioinformatics Institute (EMBL-EBI), makes AI-enabled predictions of the 3D structures of nearly all cataloged proteins available to the scientific community for free and without restrictions. It has been a year since AlphaFold was made available for free worldwide distribution and AlphaFold Protein Structure Database…

Read More Deepmind’s AlphaFold Predicted the Structures of all the Proteins Known to Science, Expanding the AlphaFold DB by Over 200x
AI | Bioinformatics | Computational Models | Data Science | Deep Learning | Drug Discovery | Featured | News | Paper Summary | Structural Biology | Tools | Trending

A Deep Learning Model ‘AF2complex’ for Predicting Protein Complex Structures and Protein-Protein Interactions
ByDr. Tamanna Anwar April 2, 2022October 22, 2026

Scientists from the Center for the Study of Systems Biology, Atlanta, in collaboration with the Georgia Institute of Technology, Atlanta, and Oak Ridge National Laboratory, Oak Ridge, USA, have introduced a new method, ‘AF2complex’, in which AlphaFold2 (AF2) can be used to predict protein complex structure and protein-protein interactions. It is expected to provide significant…

Read More A Deep Learning Model ‘AF2complex’ for Predicting Protein Complex Structures and Protein-Protein Interactions

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Predicting Multiple Conformations and Ensembles with AFsample2: An AlphaFold2 Extension

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