Protein Engineering Research Hub

Explore breakthrough studies, computational design techniques, and therapeutic applications in protein science

Research Articles

Overcoming Data Scarcity in Protein Engineering: AI-Driven Strategies for Success with Limited Experimental Data

This article provides researchers, scientists, and drug development professionals with a comprehensive framework for advancing protein engineering projects when experimental data is scarce.

James Parker
Nov 30, 2025

Deep Learning for Protein Representation Encoding: From Sequence to Structure in Computational Biology

Protein representation learning (PRL) has emerged as a transformative force in computational biology, enabling data-driven insights into protein structure and function.

Zoe Hayes
Nov 30, 2025

From Sequence to Therapy: Decoding Protein Structure-Function Relationships for Advanced Research and Drug Development

This article provides a comprehensive analysis of the protein sequence-structure-function relationship, a cornerstone of molecular biology with critical implications for biomedical research and therapeutic discovery.

Hudson Flores
Nov 30, 2025

Protein Language Models: How Transformer Architectures Are Revolutionizing Drug Discovery and Bioinformatics

This article provides a comprehensive overview of Protein Language Models (PLMs), deep learning systems based on Transformer architectures that are transforming computational biology and drug discovery.

Violet Simmons
Nov 29, 2025

Geometric Deep Learning for Protein Structures: A New Paradigm in Drug Discovery and Protein Design

This article provides a comprehensive exploration of geometric deep learning (GDL) and its transformative impact on computational biology, specifically for analyzing and designing protein structures.

Mason Cooper
Nov 29, 2025

Rational Protein Design and Site-Directed Mutagenesis: A Modern Guide for Researchers

This article provides a comprehensive overview of rational protein design, with a specific focus on the pivotal role of site-directed mutagenesis (SDM).

Sophia Barnes
Nov 26, 2025

Semi-Rational Protein Design: Bridging Computational Modeling and Experimental Science for Next-Generation Therapeutics

This article provides a comprehensive overview of semi-rational protein design, a powerful methodology that synergistically combines computational modeling with experimental screening to engineer proteins with novel or enhanced functions.

Stella Jenkins
Nov 26, 2025

Self-Supervised Learning for Protein Data: A Comprehensive Guide for Biomedical Research and Drug Discovery

This article provides a comprehensive exploration of self-supervised learning (SSL) methodologies applied to protein data, a transformative approach addressing the critical challenge of limited labeled data in computational biology.

Isaac Henderson
Nov 26, 2025

Directed Evolution Enzyme Engineering: Protocols, Machine Learning Advances, and Biomedical Applications

This article provides a comprehensive guide to directed evolution for enzyme engineering, tailored for researchers, scientists, and drug development professionals.

Ellie Ward
Nov 26, 2025

Unlocking Protein Function: A Guide to Hidden Representations in Protein Sequence Space

This article explores the transformative role of hidden representations in protein sequence space, a frontier where machine learning deciphers the complex language of proteins.

Abigail Russell
Nov 26, 2025

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