Protein Protein Interaction

AI | Bioinformatics | Deep Learning | News | Paper Summary | PPI | Structural Biology | Trending

Computing the Human Interactome: A Deep Dive into Protein Interactions
ByAnchal Negi October 16, 2024October 22, 2026

A recent study by a team of researchers has made significant strides in unraveling this complex puzzle of human interaction. The human interactome encompasses all the protein-protein interactions (PPIs) that are essential for protein function and remains an outstanding challenge. It is critical to understand these interactions to understand disease pathology and new effective interventions….

Read More Computing the Human Interactome: A Deep Dive into Protein Interactions
AI | Bioinformatics | News | Paper Summary | PPI | Proteomics | Structural Biology | Tools | Trending

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…

Read More BindCraft: Redefining Protein Binder Design with AI and One-Shot Precision
AI | Bioinformatics | Deep Learning | News | Paper Summary | Structural Biology | Tools | Trending

Unlocking Molecular Dynamics: Dynaformer, a Graph-Based Deep Learning Model for Binding Affinity Prediction
ByCBIRT September 13, 2024October 22, 2026

One major obstacle in structure-based drug design is accurately predicting the affinities of protein-ligand interaction. The accuracy of data-driven affinity prediction methods has improved recently, but its limitations remain. This is partly because these methods rely solely on static crystal structures, whereas thermodynamic ensembles between proteins and ligands typically dictate the real binding affinities. Using…

Read More Unlocking Molecular Dynamics: Dynaformer, a Graph-Based Deep Learning Model for Binding Affinity Prediction
AI | Bioinformatics | Drug Discovery | News | Paper Summary | PLM | PPI | Structural Biology | Tools | Trending

ProBASS: A Game-changer in Predicting Mutation Impact on Protein Interactions
ByAnchal Negi July 22, 2024October 22, 2026

Researchers from the Department of Biological Chemistry at Hebrew University, Jerusalem, and the Department of Pharmaceutical Chemistry at the University of California, San Francisco, have developed a landmark tool to forecast how mutations influence protein interactions. This study by Dr. Julia M Shifman, Dr. William DeGrado, and the team describes ProBASS, a language model that…

Read More ProBASS: A Game-changer in Predicting Mutation Impact on Protein Interactions
Bioinformatics | Drug Discovery | News | PPI | Structural Biology

The Protein Interaction Explorer (PIE) Platform: Revolutionizing the Study of Protein-Protein Interactions and Ligand Binding Pockets
ByDeotima Chakraborty July 9, 2024October 22, 2026

A web-based tool called Protein Interaction Explorer (PIE) by researchers from Université de Paris, France, was created to support structure-based drug discovery efforts that center on protein-protein interactions (PPIs). PIE is integrated into the database iPPI-DB. Researchers can detect and characterize important variables such as binding pockets, functional binding sites, hot spots, and protein-embedded pockets for…

Read More The Protein Interaction Explorer (PIE) Platform: Revolutionizing the Study of Protein-Protein Interactions and Ligand Binding Pockets
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 | Drug Discovery | News | Paper Summary | PPI | Proteomics | Structural Biology | Tools | Trending

Leveraging AlphaFold, Rosetta, and Replica-Exchange for Reliable Protein-Protein Docking with AlphaRED
ByDeotima Chakraborty June 8, 2024October 22, 2026

Significant progress has recently been made in predicting protein sequence to structure; however, modeling protein interfaces and complex structures is still tricky, particularly when binding partners undergo large conformational changes. According to earlier research, in only 43% of cases, AF-multimer (AFm) can accurately predict protein complexes. In this work, Johns Hopkins University researchers combine a…

Read More Leveraging AlphaFold, Rosetta, and Replica-Exchange for Reliable Protein-Protein Docking with AlphaRED
AI | Bioinformatics | LLM | News | OMICS | Paper Summary | Proteomics | Tools | Trending

Decoding Protein Function with ProteinCLIP: How Natural Language Enhances Protein Language Models
ByDeotima Chakraborty May 21, 2024October 22, 2026

Language models have made a new era of biological sequence modeling possible. However, it is still difficult to extract significant sequence-level embeddings from these models. ProteinCLIP, which employs contrastive learning between a protein’s amino acid sequence and curated literature detailing its function, is introduced by Stanford University researchers in this paper. Thus, ProteinCLIP learns to…

Read More Decoding Protein Function with ProteinCLIP: How Natural Language Enhances Protein Language Models
AI | Bioinformatics | LLM | News | Paper Summary | PPI | Tools | Trending

Revolutionizing Protein-Protein Interaction Prediction with ProLLM’s Chain-of-Thought Enhanced LLM
ByDeotima Chakraborty May 2, 2024October 22, 2026

Predicting protein-protein interactions (PPIs) is essential to comprehend biological processes and illnesses. Conventional machine learning techniques ignore nonphysical linkages made through intermediary proteins in favor of direct physical interactions. By converting structured data into natural language prompts, mapping protein linkages into sentences, finding indirect connections, and following the journey from upstream to downstream, Large Language…

Read More Revolutionizing Protein-Protein Interaction Prediction with ProLLM’s Chain-of-Thought Enhanced LLM
Bioinformatics | News | Paper Summary | PPI | Structural Biology | Tools | Trending | Web Server | Web Servers

Unleash the Power of PPI3D: A Comprehensive Web Server to Explore, Analyze, and Model Protein-Protein, Protein-Peptide, and Protein-Nucleic Acid Interactions
ByDeotima Chakraborty April 18, 2024October 22, 2026

Understanding molecular mechanisms requires an understanding of protein interactions with nucleic acids. Researchers can query preprocessed and clustered structural data, analyze the data, and draw conclusions about protein interactions based on homology using the PPI3D web server. All interactions for proteins homologous to the query, interactions between two proteins or their homologs, and interactions within…

Read More Unleash the Power of PPI3D: A Comprehensive Web Server to Explore, Analyze, and Model Protein-Protein, Protein-Peptide, and Protein-Nucleic Acid Interactions
Bioinformatics | Drug Discovery | News | Paper Summary | Proteomics | Structural Biology | Tools | Trending

Meet PiMine: A Database-Driven Approach for Protein-Protein Interface Similarity Detection
ByAnshika Gupta March 30, 2024October 22, 2026

Researchers at Universität Hamburg introduced PiMine, an application that senses structurally related protein-protein interfaces while being driven by a database. PiMine analyzes these interfaces, which are sources of information about protein function and are also important in drug discovery. It distinguishes itself from other programs by the ability to scrutinize interfaces in terms of structural…

Read More Meet PiMine: A Database-Driven Approach for Protein-Protein Interface Similarity Detection

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Protein Protein Interaction

The Protein Interaction Explorer (PIE) Platform: Revolutionizing the Study of Protein-Protein Interactions and Ligand Binding Pockets

Training

Services

Resources

Company