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Combinatorial Chemistry & High Throughput Screening

Accelerated Technologies for Biotechnology, Bioassays, Medicinal Chemistry and Natural Products Research

Volume 22, 10 Issues, 2019
ISSN: 1875-5402 (Online)
ISSN: 1386-2073 (Print)
This journal supports open access

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:

  • Target identification and validation
  • Assay design, development, miniaturization and comparison
  • High throughput/high content/in silico screening and associated technologies
  • Label-free detection technologies and applications
  • Stem cell technologies
  • Biomarkers
  • ADMET/PK/PD methodologies and screening
  • Probe discovery and development, hit to lead optimization
  • Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries)
  • Chemical library design and chemical diversity
  • Chemo/bio-informatics, data mining
  • Compound management
  • Pharmacognosy
  • Drug repurposing
  • Data management and statistical analysis
  • Laboratory automation, robotics, microfluidics, signal detection technologies
  • Current & Future Institutional Research Profile
  • Technology transfer, legal and licensing issues
  • Patents

In these respective subject areas, Combinatorial Chemistry & High Throughput Screening is intended to function as the most comprehensive and up-to-date medium available. The journal should be of value to individuals engaged in the process of drug discovery and development, in the settings of industry, academia or government.

Combinatorial Chemistry & High Throughput Screening

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Volume 21

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Number 9



Biography   Open Access



Review Article



Research Article



Research Article



Research Article



Research Article

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

, 21(9): 662 - 669

Junnan Zhao, Lu Zhu, Weineng Zhou, Lingfeng Yin, Yuchen Wang, Yuanrong Fan, Yadong Chen* and Haichun Liu*


DOI: 10.2174/1386207322666181220130232


Research Article   Open Access



Research Article

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

, 21(9): 681 - 692

Luis Francisco Barbosa-Santillán, María de los Angeles Calixto-Romo*, Juan Jaime Sánchez-Escobar and Liliana Ibeth Barbosa-Santillán


DOI: 10.2174/1386207322666181219160406


Articles Ahead of Print

Computational Method for Identifying Malonylation Sites by Using Random Forest Algorithm


ShaoPeng Wang, JiaRui Li, Xijun Sun, Yu-Hang Zhang, Tao Huang* and Yudong Cai*


View Abstract View on PubMed









Multiple-line Chemotherapy and Tyrosine Kinase Inhibitor Treatment in Patients with Advanced Lung Cancer


Hua Zhang, Jie Yang, Yan-ming Deng, Ning Zhao, Jian-miao Liang, Shuang Yang, Shun-da Zhang and Wei-neng Feng*


View Abstract View on PubMed



Editor's Choice

Catalytic Conversion of Biorenewable Sugar Feedstocks into Market Chemicals

, 2018; 21(9): 616 - 630

Gary Diamond, Alfred Hagemeyer*, Vince Murphy and Valery Sokolovskii


DOI: 10.2174/1386207322666181219155050






A Six-Gene Signature Predicts Clinical Outcome of Gastric Adenocarcinoma

, 2018; 21(6): 444 - 452

YaQi Li, Qi Yu, Rui Zhu, Yi Wang, Jiarui Li, Qiang Wang, Wenna Guo, Shen Fu* and Liucun Zhu*


DOI: 10.2174/1871524918666180531085713




Phytochemical Screening, Antiproliferative and Antioxidant Properties of Various Extracts from Endemic Origanum acutidens

, 2018; 21(4): 281 - 291

Feyza Oke-Altuntas, Mehmet Ali Demirci, Ibrahim Demirtas*, Ayse Sahin Yaglioglu and Lutfi Behcet


DOI: 10.2174/1386207321666180416154404



Extraction, Identification and Biological Activities of Saponins in Sea Cucumber Pearsonothuria graeffei

, 2018; 21(3): 222 - 231

Rafat Afifi Khattab, Mohamed Elbandy, Andrew Lawrence, Tim Paget, Jung Rae-Rho, Yaser S. Binnaser and Imran Ali*


DOI: 10.2174/1386207321666180212165448




A High-throughput Screening of a Chemical Compound Library in Ovarian Cancer Stem Cells

, 2018; 21(1): 50 - 56

F. Ricci*, L. Carrassa, M. S. Christodoulou, D. Passarella, B. Michel, R. Benhida, N. Martinet, A. Hunyadi, E. Ioannou, V. Roussis, L. Musso, S. Dallavalle, R. Silvestri, N. Westwood, M. Mori, C. Ingallina, B. Botta, E. Kavetsou, A. Detsi, Z. Majer, F. Hudecz, S. Bosze, B. Kaminska, T.V. Hansen, P. Bertrand, C. M. Athanassopoulos and G. Damia*


DOI: 10.2174/1386207321666180124093406



Open Access Articles



High Throughput Screening of Esterases, Lipases and Phospholipases in Mutant and Metagenomic Libraries: A Review

, 2016; 19(8): 605 - 615

Carlina Peña-García, Mónica Martínez-Martínez, Dolores Reyes-Duarte* and Manuel Ferrer*





Identification of Protein Palmitoylation Inhibitors from a Scaffold Ranking Library

, 2016; 19(4): 262 - 274

Laura D. Hamel, Brian J. Lenhart, David A. Mitchell, Radleigh G. Santos, Marc A. Giulianotti and Robert J. Deschenes*




Discovery of MINC1, a GTPase-Activating Protein Small Molecule Inhibitor, Targeting MgcRacGAP

, 2015; 18(1): 3 - 17

Arjan J. van Adrichem, Annika Fagerholm, Laura Turunen, Anna Lehto, Jani Saarela, Ari Koskinen, Gretchen A. Repasky and Krister Wennerberg*




Digital Holographic Microscopy: A Quantitative Label-Free Microscopy Technique for Phenotypic Screening

, 2014; 17(1): 80 - 88

Benjamin Rappaz, Billy Breton, Etienne Shaffer and Gerardo Turcatti*




Chemical Informatics and the Drug Discovery Knowledge Pyramid

, 2013; 16(10): 764 - 776

Gerald H. Lushington*, Yinghua Dong and Bhargav Theertham







Alternative Medicine Safety: Agaricus blazei and Propolis

, 2011; 14(7): 616 - 621

Kenji Sorimachi* and Takaaki Nakamoto




The Design and Application of Target-Focused Compound Libraries

, 2011; 14(6): 521 - 531

C. John Harris, Richard D. Hill, David W. Sheppard*, Martin J. Slater and Pieter F.W. Stouten







Most Cited Articles



SAnDReS a Computational Tool for Statistical Analysis of Docking Results and Development of Scoring Functions

, 2016; 19(10): 801-812.

Mariana Morrone Xavier, Gabriela Sehnem Heck, Mauricio Boff de Avila, Nayara Maria Bernhardt Levin, Val Oliveira Pintro, Nathalia Lemes Carvalho and Walter Filgueira de Azevedo


DOI: 10.2174/1386207319666160927111347










Most Accessed Articles


Molecular Docking for Prediction and Interpretation of Adverse Drug Reactions

, 2018; 21(5): 314-322.

Heng Luo, Achille Fokoue-Nkoutche, Nalini Singh, Lun Yang, Jianying Hu and Ping Zhang*


DOI: 10.2174/1386207321666180524110013





Oscillatory Dynamics of P53 Network With Time Delays

, 2018; 21(6): 411-419.

Conghua Wang, Fang Yan, Yuan Zhang, Haihong Liu* and Linghai Zhang


DOI: 10.2174/1386207321666180601080026




A Six-Gene Signature Predicts Clinical Outcome of Gastric Adenocarcinoma

, 2018; 21(6): 444-452.

YaQi Li, Qi Yu, Rui Zhu, Yi Wang, Jiarui Li, Qiang Wang, Wenna Guo, Shen Fu* and Liucun Zhu*


DOI: 10.2174/1871524918666180531085713




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