The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Impacts of Bioinformatics to Medicinal Chemistry
Abstract
Facing the explosive growth of biological sequence data, such as those of protein/peptide and DNA/RNA, generated in the post-genomic age, many bioinformatical and mathematical approaches as well as physicochemical concepts have been introduced to timely derive useful informations from these biological sequences, in order to stimulate the development of medical science and drug design. Meanwhile, because of the rapid penetrations from these disciplines, medicinal chemistry is currently undergoing an unprecedented revolution. In this minireview, we are to summarize the progresses by focusing on the following six aspects. (1) Use the pseudo amino acid composition or PseAAC to predict various attributes of protein/peptide sequences that are useful for drug development. (2) Use pseudo oligonucleotide composition or PseKNC to do the same for DNA/RNA sequences. (3) Introduce the multi-label approach to study those systems where the constituent elements bear multiple characters and functions. (4) Utilize the graphical rules and "wenxiang" diagrams to analyze complicated biomedical systems. (5) Recent development in identifying the interactions of drugs with its various types of target proteins in cellular networking. (6) Distorted key theory and its application in developing peptide drugs.
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Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Some remarks on protein attribute prediction and pseudo amino acid composition
Chou, K.-C. (2011) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2010.12.024 · Cited by 1,225
Self-citationLin, H., Deng, E.-Z., Ding, H., Chen, W., & Chou, K.-C. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku1019 · Cited by 508
Self-citationUsing subsite coupling to predict signal peptides
Chou, K.-C. (2001) · Protein Engineering, Design and Selection · doi:10.1093/protein/14.2.75 · Cited by 255
Self-citation
Cited by
Liu, B., Liu, F., Wang, X., Chen, J., Fang, L., & Chou, K.-C. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv458 · Cited by 721
Self-citationiRNA-PseU: Identifying RNA pseudouridine sites
Chen, W., Tang, H., Ye, J., Lin, H., & Chou, K.-C. (2016) · Molecular Therapy - Nucleic Acids · doi:10.1038/mtna.2016.37 · Cited by 291
Self-citationIdentification of Real MicroRNA Precursors with a Pseudo Structure Status Composition Approach
Liu, B., Fang, L., Liu, F., Wang, X., Chen, J., & Chou, K.-C. (2015) · PLOS ONE · doi:10.1371/journal.pone.0121501 · Cited by 238
Self-citationSequence-based predictive modeling to identify cancerlectins
Lai, H.-Y., Chen, X.-X., Chen, W., Tang, H., & Lin, H. (2017) · Oncotarget · doi:10.18632/oncotarget.15963 · Cited by 94
Machine learning model to predict oncologic outcomes for drugs in randomized clinical trials
Schperberg, A. V., Boichard, A., Tsigelny, I. F., Richard, S. B., & Kurzrock, R. (2020) · International Journal of Cancer · doi:10.1002/ijc.33240 · Cited by 24
Metadata
- Authors
- Chou, K.-C.
- Venue
- Medicinal Chemistry
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2015-03-31
- Volume
- 11
- Issue
- 3
- Pages
- 218-234
- ISSN
- 1573-4064 (ISSN-L)
- OpenAlex
- W2313411748
- Cited by
- 518
- References
- 4
- FWCI
- 37.70
- Type
- journal article
- Language
- en
- Open access
- closed
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