后台经常有粉丝要求介绍一本接收生信数据文章而且不用版面费的期刊，现在我们进行安排。这次分享的这本期刊就是Combinatorial Chemistry & High Throughput Screening (CCHTS) ，最新影响因子：1.339，五年影响因子：1.669，中科院分区：4区，属于非OA期刊，不用版面费。此外，这本期刊名声也比较好，不在中科院《国际期刊预警名单（试行）》名单（ 2021年1月发布版）上，应该不影响毕业或者评职称问题。
这本期刊是有明确规定接收生信数据挖掘类文章：
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
Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products)
Natural Product Analytical Studies
Bipharmaceutical studies of Natural products
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
此外，这本期刊对国内研究人员是比较友好的，
目前有很多国内作者在上面发表了相关纯生信数据挖掘的文章，无论是GEO数据挖掘还是TCGA数据挖掘都是接收的，肿瘤方向和非肿瘤方向的文章都是接收的。
