PPI

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BindCraft: Redefining Protein Binder Design with AI and One-Shot Precision
ByDeotima Chakraborty October 8, 2024October 22, 2026

All important biological processes revolve around protein-protein interactions (PPIs’). Designing PPIs’ is difficult, nonetheless, because of the intricate structural characteristics that define them. Researchers propose BindCraft, an automated, open-source workflow with 10–100% experimental success rates for designing new protein binders. BindCraft generates nanomolar binders without the need for high-throughput screening or experimental optimization by using…

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AI | Bioinformatics | Drug Discovery | News | Paper Summary | PPI | Structural Biology | Tools | Trending

Proteome-wide PPI Screening: AlphaFastPPi Paves the Way for Large-scale Studies
ByDeotima Chakraborty June 13, 2024October 22, 2026

Despite the challenge of scaling for large-scale screenings, advances in computational structural biology, like AlphaFold-Multimer, have greatly improved the understanding of protein-protein interactions across entire proteomes, enabling large-scale screenings and elucidating system properties within or between organisms. Here, researchers provide AlphaFastPPi, a pipeline based on AlphaPulldown and AlphaFold-Multimer. AlphaFastPPi is a simplified pipeline that uses…

Read More Proteome-wide PPI Screening: AlphaFastPPi Paves the Way for Large-scale Studies
AI | Bioinformatics | COVID-19 | Covid-19 News | Drug Discovery | Machine Learning | News | Proteomics | SARS-CoV-2 | Structural Biology | Trending

AI-Powered Protein-Protein Interaction Drug Discovery Pipeline Yields a Promising SARS-CoV-2 Inhibitor
ByAditi Sarkar June 24, 2023June 24, 2023

The multi-adaptive Support Vector Machine Learning Algorithm (maSVM) can improve comparisons between binary Protein-Protein interaction datasets gathered in different laboratories and can be utilized to confidently prioritize potential targets for Protein-Protein Interaction (PPI) based drug discovery. The researchers first showed that the automatic classification of large quantitative interaction datasets could be performed with high confidence….

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Bioinformatics | Deep Learning | Neural Network | News | Paper Summary | Tools | Trending

‘DeepRank’ – A Deep Learning Framework for Data Mining Protein-Protein Interfaces Using 3D Convolutional Neural Networks
ByTanveen Kaur May 16, 2022November 9, 2022

Scientists formulate a deep learning framework, DeepRank, for the data mining of 3D protein-protein interfaces. They demonstrated the efficiency and readiness of DeepRank on two unique difficulties in structural biology. 3D structures of protein complexes give essential data to decipher biological processes at the molecular scale. The huge measure of experimentally and computationally resolved protein-protein…

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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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