Research Articles
CAPE Community Learning Platform: A Comprehensive Guide for Researchers and Drug Development Professionals
This article provides an in-depth exploration of the CAPE (Community-Accessible Platform for Experiments) open platform, a transformative tool for collaborative biomedical research.
Unlocking Precision Oncology: How CAPE Mutant Datasets Are Powering Next-Gen Machine Learning Models
This article explores the critical role of Comprehensive And Personalized Encoded (CAPE) mutant datasets in advancing machine learning (ML) for biomedical research and drug discovery.
CAPE Machine Learning: Revolutionizing Protein Design for Next-Generation Therapeutics
This article provides a comprehensive guide to CAPE (Conditional Atlas of Protein Environments) machine learning algorithms for protein design.
The CAPE Framework: A Next-Generation Strategy for Engineering Enhanced Therapeutic Proteins
This article introduces and details the CAPE framework—Computation, Affinity, Pharmacokinetics, and Expression—a systematic, four-pillar approach for rational therapeutic protein engineering.
From Sequences to Solutions: How CAPE AI is Revolutionizing Protein Vaccine and Antiviral Design
This article provides a comprehensive technical overview of the Computational Analysis of Protein Epitopes (CAPE) platform for researchers and drug development professionals.
Harnessing CAPE in Enzyme Engineering: A Cutting-Edge Guide for Green Chemistry and Biocatalysis
This comprehensive review explores the transformative role of Computational Analysis of Protein Engineering (CAPE) tools in advancing enzyme engineering for green chemistry and biocatalysis.
Unlocking Protein Design: How CAPE Challenge Mutant Datasets Accelerate Protein Engineering
This article explores the application of CAPE (Critical Assessment of Protein Engineering) challenge mutant datasets in protein engineering.
Accelerating Protein Design: A Guide to CAPE Biofoundry Access for Biomedical Researchers
This article provides a comprehensive guide for researchers and drug development professionals seeking to leverage the capabilities of the CAPE Biofoundry for advanced protein design.
The CAPE Benchmark: A Comprehensive Guide to Measuring and Optimizing Engineered Protein Performance Against Wild-Type Activity
This article provides a detailed, research-focused analysis of the CAPE (Comprehensive Assessment of Protein Engineering) benchmark for evaluating engineered protein variants.
Benchmarking Transformer Models for Enzyme Classification: A Comprehensive Guide for Biomedical AI Research
This article provides a systematic examination of transformer-based deep learning models applied to the critical task of enzyme function prediction and classification.