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Biomolecular modeling thrives in the age of technology
The biomolecular modeling field has flourished since its early days in the 1970s due to the rapid adaptation and tailoring of state-of-the-art...
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A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations
Identification of drug-disease association is crucial for drug development and reposition. However, discovering drugs which are associated with...
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Bioinformatics and Its Application in Computing Biological Data
Bioinformatics has become an important part of a variety of biological fields. Bioinformatics methods such as signal processing and image enable the...
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Generalized metabolic flux analysis framework provides mechanism-based predictions of ophthalmic complications in type 2 diabetes patients
Chronic metabolic diseases arise from changes in metabolic fluxes through biomolecular pathways and gene networks accumulated over the lifetime of an...
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Robust Few-Shot Graph Anomaly Detection via Graph Coarsening
Graph anomaly detection is an important aspect of anomaly detection, especially the graph-level anomaly detection, which can be used into...
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Cross-Modal Method Based on Self-Attention Neural Networks for Drug-Target Prediction
Prediction of drug-target interactions (DTIs) plays a crucial role in drug retargeting, which can save costs and shorten time for drug development....
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Structural and Functional Analysis of Proteins Using Rigidity Theory
Over the past two decades, we have witnessed an unprecedented explosion in available biological data. In the age of big data, large biological...
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Querying Healthcare Data in Knowledge-Based Systems
In the ever-evolving healthcare landscape, integrating knowledge-based systems into data querying processes is becoming imperative. The existing...
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ComPAT: A Comprehensive Pathway Analysis Tools
Pathway annotation or enrichment is often used as the efficient tool to uncover the molecular mechanism of interesting gene sets from genome-wide...
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Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems
This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a...
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DeepM6ASeq-EL: prediction of human N6-methyladenosine (m6A) sites with LSTM and ensemble learning
N6-methyladenosine (m 6 A) is a prevalent methylation modification and plays a vital role in various biological processes, such as metabolism, mRNA...
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Exploring high scientific productivity in international co-authorship of a small develo** country based on collaboration patterns
The number of published scientific paper grows rapidly each year, totaling more than 2.9 million annually. New methodologies and systems have been...
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Machine Learning for Protein Engineering
Directed evolutionDirected evolution of proteins has been the most effective method for protein engineeringProtein engineering. However, a new...
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Deep learning in drug discovery: an integrative review and future challenges
Recently, using artificial intelligence (AI) in drug discovery has received much attention since it significantly shortens the time and cost of...
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Introduction
We find ourselves immersed in an era defined by the exponential growth of data, encompassing images, videos, and documents. As the volume of data...
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Algebraic Modeling as One of the Methods for Solving Organic Chemistry Problems
A brief review of molecular modeling methods and specialized software and their use for creating and researching molecular models was considered. The...
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Medical Concept Normalization
Medical concept normalization, which maps clinical entities to concepts in standard terminology, is essential for supporting downstream computational...
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Escherichia coli: Analysis of Features for Protein Localization Classification Employing Fusion Data
Machine learning models can be used for relevance of features in classification systems. The interest in protein analysis based on biomolecular...
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Biological Pathway Identification
Genome-wide association study (GWAS) has become an essential method to reveal the genetic mechanism of complex diseases. In the past decade, the...
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An efficient cloud-based elastic RDMA protocol for HPC applications
High-performance computing (HPC) networking is of great importance in scaling many HPC applications across multiple nodes. Generally, most HPC...
