IEEE

HighMPNN: A Graph Neural Network Approach for Structure-Constrained Cyclic Peptide Sequence Design

Abstract: Cyclic peptides become attractive therapeutic candidates due to their diverse biological activities. However, existing deep learning-based sequence design models, such as ProteinMPNN, are ...
IEEE

Protein-Binding RNA Prediction Based on Integrated Sequence-Structure-Function Pre-Training

Abstract: RNA binding proteins (RBPs) play a crucial role in regulating biological functions through their interactions with specific RNAs, significantly impacting various life processes.
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
How-To Geek on MSN

Make Python scripts smarter with regex: 5 practical RE examples

If you work with strings in your Python scripts and you're writing obscure logic to process them, then you need to look into ...
GitHub

A Python package that automatically generates and updates dataclasses from ISO20022 schemas daily, making it easy to integrate and validate financial message data.

python-iso20022/ ├── .github/workflows # CI/CD workflows ├── python_iso20022/ # Top-level package directory │ ├── acmt/ # Example of a message set directory │ │ ├── acmt_001_001_08/ # Directory for a ...
Frontiers

Integrative linkage and recombination analysis of 25 X-STRs across 7 linkage groups using pedigree-based and SNP-based strategies

Introduction: X-chromosomal short tandem repeats (X-STRs) are valuable genetic markers in forensic science for resolving complex kinship scenarios. However, the linkage relationship and recombination ...
GitHub

Code Structure Analyzer (CSA)

This tool has been developed using both LM Studio and Ollama as LLM providers. The idea behind using a local LLM, like Google's Gemma-3 1B, is data privacy and low cost. In addition, with a good LLM a ...