AIMC Topic: Computational Biology

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Identification of Protein-Protein Interaction Associated Functions Based on Gene Ontology.

The protein journal
Protein-protein interactions (PPIs) involve the physical or functional contact between two or more proteins. Generally, proteins that can interact with each other always have special relationships. Some previous studies have reported that gene ontolo...

A Comprehensive Review on Machine Learning Techniques for Protein Family Prediction.

The protein journal
Proteomics is a field dedicated to the analysis of proteins in cells, tissues, and organisms, aiming to gain insights into their structures, functions, and interactions. A crucial aspect within proteomics is protein family prediction, which involves ...

Advances in AI and machine learning for predictive medicine.

Journal of human genetics
The field of omics, driven by advances in high-throughput sequencing, faces a data explosion. This abundance of data offers unprecedented opportunities for predictive modeling in precision medicine, but also presents formidable challenges in data ana...

Convolutions are competitive with transformers for protein sequence pretraining.

Cell systems
Pretrained protein sequence language models have been shown to improve the performance of many prediction tasks and are now routinely integrated into bioinformatics tools. However, these models largely rely on the transformer architecture, which scal...

Drug target prediction through deep learning functional representation of gene signatures.

Nature communications
Many machine learning applications in bioinformatics currently rely on matching gene identities when analyzing input gene signatures and fail to take advantage of preexisting knowledge about gene functions. To further enable comparative analysis of O...

PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery.

Journal of chemical information and modeling
PandaOmics is a cloud-based software platform that applies artificial intelligence and bioinformatics techniques to multimodal omics and biomedical text data for therapeutic target and biomarker discovery. PandaOmics generates novel and repurposed th...

dbCRAF: a curated knowledgebase for regulation of radiation response in human cancer.

NAR cancer
Radiation therapy (RT) is one of the primary treatment modalities of cancer, with 40-60% of cancer patients benefiting from RT during their treatment course. The intrinsic radiosensitivity or acquired radioresistance of tumor cells would affect the r...

Predicting circRNA-RBP Binding Sites Using a Hybrid Deep Neural Network.

Interdisciplinary sciences, computational life sciences
Circular RNAs (circRNAs) are non-coding RNAs generated by reverse splicing. They are involved in biological process and human diseases by interacting with specific RNA-binding proteins (RBPs). Due to traditional biological experiments being costly, c...

A journey from omics to clinicomics in solid cancers: Success stories and challenges.

Advances in protein chemistry and structural biology
The word 'cancer' encompasses a heterogenous group of distinct disease types characterized by a spectrum of pathological features, genetic alterations and response to therapies. According to the World Health Organization, cancer is the second leading...

SLIDE: Significant Latent Factor Interaction Discovery and Exploration across biological domains.

Nature methods
Modern multiomic technologies can generate deep multiscale profiles. However, differences in data modalities, multicollinearity of the data, and large numbers of irrelevant features make analyses and integration of high-dimensional omic datasets chal...