AI Medical Compendium Journal:
Combinatorial chemistry & high throughput screening

Showing 1 to 10 of 68 articles

A Review of Computational Drug Repositioning Approaches.

Combinatorial chemistry & high throughput screening Dec 20, 2017
Computational drug repositioning emerges as a new idea of drug discovery and development. Contrary to conventional routines, computational drug repositioning encompasses low risk and high safety. Some successful cases demonstrated its advantage. Ther...
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Establishment and Validation of the Novel Necroptosis-related Genes for Predicting Stemness and Immunity of Hepatocellular Carcinoma Machine-learning Algorithm.

Combinatorial chemistry & high throughput screening Jan 1, 2025
BACKGROUND: Necroptosis, a recently identified mechanism of programmed cell death, exerts significant influence on various aspects of cancer biology, including tumor cell proliferation, stemness, metastasis, and immunosuppression. However, the role o...
Algorithms Prognosis Liver Neoplasms Humans Machine Learning Necroptosis Carcinoma, Hepatocellular Neoplastic Stem Cells
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Construction and Application of a Traditional Chinese Medicine Syndrome Differentiation Model for Dysmenorrhea Based on Machine Learning.

Combinatorial chemistry & high throughput screening Jan 1, 2025
BACKGROUND: Dysmenorrhea is one of the most common ailments affecting young and middle-aged women, significantly impacting their quality of life. Traditional Chinese Medicine (TCM) offers unique advantages in treating dysmenorrhea. However, an accura...
Dysmenorrhea Neural Networks, Computer Machine Learning Support Vector Machine Medicine, Chinese Traditional Female Humans
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Prediction of Anti-rheumatoid Arthritis Natural Products of Xanthocerais Lignum Based on LC-MS and Artificial Intelligence.

Combinatorial chemistry & high throughput screening Jan 1, 2025
AIMS: Employing the technique of liquid chromatography-mass spectrometry (LCMS) in conjunction with artificial intelligence (AI) technology to predict and screen for antirheumatoid arthritis (RA) active compounds in Xanthocerais lignum.
Artificial Intelligence Arthritis, Rheumatoid Humans Chromatography, Liquid Liquid Chromatography-Mass Spectrometry Antirheumatic Agents Mass Spectrometry Biological Products
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Patterns of Gene Expression Profiles Associated with Colorectal Cancer in Colorectal Mucosa by Using Machine Learning Methods.

Combinatorial chemistry & high throughput screening Jan 1, 2024
BACKGROUND: Colorectal cancer (CRC) has a very high incidence and lethality rate and is one of the most dangerous cancer types. Timely diagnosis can effectively reduce the incidence of colorectal cancer. Changes in para-cancerous tissues may serve as...
Gene Expression Profiling Transcriptome Algorithms Intestinal Mucosa Colorectal Neoplasms Gene Expression Regulation, Neoplastic Humans Antigens, CD Machine Learning Cadherins Support Vector Machine
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Investigating the Precise Identification of Citrullination Sites with High- Performance Score Metrics Using a Powerful Computation Predicting Tool.

Combinatorial chemistry & high throughput screening Jan 1, 2024
BACKGROUND: To elucidate the detailed mechanisms of citrullination at the molecular level and design drugs applicable to major human diseases, predicting protein citrullination sites (PCSs) is essential. Using experimental approaches to predict PCSs ...
Citrullination Computational Biology Humans Support Vector Machine Machine Learning
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Machine Learning-derived Multi-omics Prognostic Signature of Pyroptosis-related lncRNA with Regard to ZKSCAN2-DT and Tumor Immune Infiltration in Colorectal Cancer.

Combinatorial chemistry & high throughput screening Jan 1, 2024
BACKGROUND: Colorectal cancer (CRC) has become the most prevalent gastrointestinal malignant tumor, ranking third (10.2%) in incidence and second (9.2%) in death among all malignancies globally. The most common histological subtype of CRC is colon ad...
Humans Prognosis Colorectal Neoplasms Machine Learning Pyroptosis Multiomics RNA, Long Noncoding Tumor Microenvironment Biomarkers, Tumor
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Importance of GWAS Risk Loci and Clinical Data in Predicting Asthma Using Machine-learning Approaches.

Combinatorial chemistry & high throughput screening Jan 1, 2024
INTRODUCTION: To understand the risk factors of asthma, we combined genome-wide association study (GWAS) risk loci and clinical data in predicting asthma using machine-learning approaches.
Case-Control Studies Genome-Wide Association Study Polymorphism, Single Nucleotide Genetic Loci Genetic Predisposition to Disease Male Middle Aged Adult Asthma Humans Female Risk Factors Machine Learning
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HTNpedia: A Knowledge Base for Hypertension Research.

Combinatorial chemistry & high throughput screening Jan 1, 2024
BACKGROUND: Hypertension is notably a serious public health concern due to its high prevalence and strong association with cardiovascular disease and renal failure. It is reported to be the fourth leading disease that leads to death worldwide.
Hypertension Knowledge Bases Humans Databases, Factual
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Computer Aided Reverse Vaccinology: A Game-changer Approach for Vaccine Development.

Combinatorial chemistry & high throughput screening Jan 1, 2023
One of the most dynamic approaches in biotechnology is reverse vaccinology, which plays a huge role in today's developing vaccines. It has the capability of exploring and identifying the most potent vaccine candidate in a limited period of time. The ...
Computational Biology Vaccines Vaccine Development Vaccinology Artificial Intelligence Computers
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