Combinatorial Chemistry High Throughput Screening

Aims & Scope

Combinatorial Chemistry & High Throughput Screening(CCHTS) publishes full length original research articles and reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Read More

"Combinatorial Chemistry & High Throughput Screening is a pivotal journal in the field of drug discovery"

Norman R. Farnsworth
Univ. of Lllinois at Chicago, USA

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Welcome To
Combinatorial Chemistry & High Throughput Screening

About the Journal

Aims & Scope

Ranking and Category

Meet Our Editorial Board Member

Catalytic Conversion of Biorenewable Sugar Feedstocks into Market Chemicals

An Integrated Feature Selection Algorithm for Cancer Classification using Gene Expression Data

A Novel, Fast and Efficient One-Pot Three-Component Procedure for the Preparation of New Imidazolidinone Derivatives from Isocyanide, Aldehyde and Urea

Prognostic Impact of Lymphadenectomy in Different Stages of Malignant Germ Cell Tumor of the Ovary Based on Propensity Score Matching

In silico Prediction of Inhibitory Constant of Thrombin Inhibitors Using Machine Learning

A Network Integration Method for Deciphering the Types of Metabolic Pathway of Chemicals with Heterogeneous Information

An Approach of Anomaly Detection and Neural Network Classifiers to Measure Cellulolytic Activity

Supervised Machine Learning Algorithms for Evaluation of Solid Lipid Nanoparticles and Particle Size

Endorsement(s)

Announcements

Related Journals

Related E-Books

About the Publisher

Bentham Science: About Us

Indexed in

Welcome To Combinatorial Chemistry & High Throughput Screening

About the Journal

Aims & Scope

Ranking and Category

Meet Our Editorial Board Member

Catalytic Conversion of Biorenewable Sugar Feedstocks into Market Chemicals

An Integrated Feature Selection Algorithm for Cancer Classification using Gene Expression Data

A Novel, Fast and Efficient One-Pot Three-Component Procedure for the Preparation of New Imidazolidinone Derivatives from Isocyanide, Aldehyde and Urea

Prognostic Impact of Lymphadenectomy in Different Stages of Malignant Germ Cell Tumor of the Ovary Based on Propensity Score Matching

In silico Prediction of Inhibitory Constant of Thrombin Inhibitors Using Machine Learning

A Network Integration Method for Deciphering the Types of Metabolic Pathway of Chemicals with Heterogeneous Information

An Approach of Anomaly Detection and Neural Network Classifiers to Measure Cellulolytic Activity

Supervised Machine Learning Algorithms for Evaluation of Solid Lipid Nanoparticles and Particle Size

Endorsement(s)

Announcements

Related Journals

Related E-Books

About the Publisher

Bentham Science: About Us

Indexed in

Welcome To
Combinatorial Chemistry & High Throughput Screening