INTRODUCTION TO BIOCHEMICAL PHARMACOLOGY AND DRUG DISCOVERY

Researchers have extensively focused on marine originated antimicrobial drugs, looking at the fact that terrestrial source of antibiotics are exhausted and demand of newer class of antimicrobials due to ever increasing resistance level in existing drug classes. Antibiotics like antibacterial, antivi[r]

Detecting similar ligand-binding sites in globally unrelated proteins has a wide range of applications in modern drug discovery, including drug repurposing, the prediction of side effects, and drug-target interactions. Although a number of techniques to compare binding pockets have been developed, t[r]

Viruses of the flaviviridae family are responsible for some of the major infectious viral diseases around the world and there is an urgent need for drug development for these diseases. Most of the virtual screening methods in flaviviral drug discovery suffer from a low hit rate, strain-specific effi[r]

130. Qian L, Liao SY, Huang ZL, Shen Y, & Zheng KC (2010) Theoretical studies on pyrimidine substituent derivatives as dual inhibitors of AP-1 and NF-kappaB. J Mol Model
16(6):1139-1150.
131. Henrich S, Feierberg I, Wang T, Blomberg N, & Wade RC (2010) Comparative binding ener[r]

7.2 Correction of retention time shift of fingerprints of herbal medicines
When one deals with several chromatographic fingerprints obtained from the same herbal medicine or from different sources, the first step of our task might be to evaluate their similarity and difference bet[r]

Link prediction in biomedical graphs has several important applications including predicting Drug-Target Interactions (DTI), Protein-Protein Interaction (PPI) prediction and Literature-Based Discovery (LBD). It can be done using a classifier to output the probability of link formation between nodes.

The discovery that not all agonists uniformly activate cellular signaling pathways (biased signaling) has greatly changed the drug discovery process for agonists and the strategy for treatment of disease with agonists.

Drug repositioning is the process of identifying new targets for known drugs. It can be used to overcome problems associated with traditional drug discovery by adapting existing drugs to treat new discovered diseases.

DIF: Cognitive Level: Application REF: p. 4 OBJ: 4 TOP: Planning KEY: Nursing Process Step: Planning
MSC: NCLEX: Physiological Integrity
16. The nurse collected information for a patient at the beginning of the shift and found that she had a blood pressure of 198/100. After reporting this[r]

One of the reasons Littman and Krishna decided to create a textbook entitled Translational Medicine and Drug Discovery was to provide a guidebook for current and future translational medicine scientists and to clearly describe successful[r]

Penicillin "The Wonder Drug"
When discussing the antibiotic breakthrough of penicillin, the name which is most often
associated with its discovery tends to be Alexander Fleming. While this is not completely false, there are many other factors as well as persons wh[r]

Automatic and reliable characterization of cells in cell cultures is key to several applications such as cancer research and drug discovery. Given the recent advances in light microscopy and the need for accurate and high-throughput analysis of cells, automated algorithms have been developed for seg[r]

Recently, the metabolite-likeness of the drug space has emerged and has opened a new possibility for exploring human metabolite-like candidates in drug discovery. However, the applicability of metabolite-likeness in drug discovery has been largely unexplored.

Drug repositioning is the process of identifying new uses for existing drugs. Computational drug repositioning methods can reduce the time, costs and risks of drug development by automating the analysis of the relationships in pharmacology networks.

Understanding the phenotypic drug response on cancer cell lines plays a vital role in anti-cancer drug discovery and re-purposing. The Genomics of Drug Sensitivity in Cancer (GDSC) database provides open data for researchers in phenotypic screening to build and test their models.

other routes is termed bioavailability . Bioavailability may be <100% for two reasons: (1) absorption is reduced, or (2) the drug undergoes metabolism or elimination prior to entering the systemic circulation.
When a drug is administered by a[r]

Our developed BOD biosensor is based on a pre-tested, synergistic formulated microbial consortium. It is capable to sense the BOD load of a wide variety of synthetic as well as industrial wastewaters having low–moderate–high biodegradability within minutes. The sensor BOD values show a good l[r]

Gene delivery systems Viral gene delivery systems
Viral gene delivery systems are based on recombinant viruses that are ge- netically modified to be replication-defective and unable to cause diseases when introduced into the human body. Viruses that have been used in gene[r]