AIMC Topic: Computational Biology

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DeepCRISTL: deep transfer learning to predict CRISPR/Cas9 on-target editing efficiency in specific cellular contexts.

Bioinformatics (Oxford, England)
MOTIVATION: CRISPR/Cas9 technology has been revolutionizing the field of gene editing. Guide RNAs (gRNAs) enable Cas9 proteins to target specific genomic loci for editing. However, editing efficiency varies between gRNAs and so computational methods ...

BELHD: improving biomedical entity linking with homonym disambiguation.

Bioinformatics (Oxford, England)
MOTIVATION: Biomedical entity linking (BEL) is the task of grounding entity mentions to a given knowledge base (KB). Recently, neural name-based methods, system identifying the most appropriate name in the KB for a given mention using neural network ...

A Neural Network-Based Scoring System for Predicting Prognosis and Therapy in Breast Cancer.

Current protocols
Breast cancer is a prevalent malignancy affecting women worldwide. Currently, there are no precise molecular biomarkers with immense potential for accurately predicting breast cancer development, which limits clinical management options. Recent evide...

Unlocking the power of spatial omics with AI.

Nature methods
Spatial omics technologies have transformed biomedical research by providing detailed, spatially resolved molecular profiles that enhance our understanding of tissue structure and function at unprecedented levels. Artificial intelligence (AI) holds g...

Protein multi-level structure feature-integrated deep learning method for mutational effect prediction.

Biotechnology journal
Through iterative rounds of mutation and selection, proteins can be engineered to enhance their desired biological functions. Nevertheless, identifying optimal mutation sites for directed evolution remains challenging due to the vastness of the prote...

Genetic Analysis of Potential Biomarkers and Therapeutic Targets in Ferroptosis from Steroid-Induced Osteonecrosis of the Femoral Head Based on Machine Learning.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
OBJECTIVE: To locate the candidate therapeutic target genes involved in ferroptosis in steroid-induced osteonecrosis of the femoral head (SONFH).