scholarly journals Structure−Activity Relationships of Antitubercular Nitroimidazoles. 1. Structural Features Associated with Aerobic and Anaerobic Activities of 4- and 5-Nitroimidazoles

2009 ◽  
Vol 52 (5) ◽  
pp. 1317-1328 ◽  
Author(s):  
Pilho Kim ◽  
Liang Zhang ◽  
Ujjini H. Manjunatha ◽  
Ramandeep Singh ◽  
Sejal Patel ◽  
...  
Keyword(s):  
Structural Features ◽  
Structure Activity Relationships ◽  
Structure Activity ◽  
Aerobic And Anaerobic

scholarly journals Synthesis, Antiprotozoal Activity, and Cheminformatic Analysis of 2-Phenyl-2H-Indazole Derivatives

Molecules ◽  
2021 ◽  
Vol 26 (8) ◽  
pp. 2145
Author(s):  
Karen Rodríguez-Villar ◽  
Lilián Yépez-Mulia ◽  
Miguel Cortés-Gines ◽  
Jacobo David Aguilera-Perdomo ◽  
Edgar A. Quintana-Salazar ◽  
...  
Keyword(s):  
Phenyl Ring ◽  
Medicinal Chemistry ◽  
Structural Features ◽  
Pharmacological Properties ◽  
Antiprotozoal Activity ◽  
One Pot ◽  
Biological Assays ◽  
Structure Activity Relationships ◽  
Structure Activity ◽  
Synthetic Methodologies

Indazole is an important scaffold in medicinal chemistry. At present, the progress on synthetic methodologies has allowed the preparation of several new indazole derivatives with interesting pharmacological properties. Particularly, the antiprotozoal activity of indazole derivatives have been recently reported. Herein, a series of 22 indazole derivatives was synthesized and studied as antiprotozoals. The 2-phenyl-2H-indazole scaffold was accessed by a one-pot procedure, which includes a combination of ultrasound synthesis under neat conditions as well as Cadogan’s cyclization. Moreover, some compounds were derivatized to have an appropriate set to provide structure-activity relationships (SAR) information. Whereas the antiprotozoal activity of six of these compounds against E. histolytica, G. intestinalis, and T. vaginalis had been previously reported, the activity of the additional 16 compounds was evaluated against these same protozoa. The biological assays revealed structural features that favor the antiprotozoal activity against the three protozoans tested, e.g., electron withdrawing groups at the 2-phenyl ring. It is important to mention that the indazole derivatives possess strong antiprotozoal activity and are also characterized by a continuous SAR.

A Quantum Chemical Study of "Light-Dependent Herbicides"

1993 ◽  
Vol 48 (3-4) ◽  
pp. 345-349 ◽  
Author(s):  
T. Akagi ◽  
N. Sakashita
Keyword(s):  
Quantum Chemical Calculations ◽  
Quantum Chemical ◽  
Molecular Similarity ◽  
Quantum Chemical Study ◽  
Chemical Study ◽  
Structural Features ◽  
Molecular Field ◽  
Structure Activity Relationships ◽  
Structure Activity

Common structural features were investigated for “light-dependent herbicides” (LDH s, also called peroxidizing or photobleaching herbicides). Quantum chemical calculations of 143 herbicidal compounds revealed that LUMO levels of LDH s were similar and strikingly low. Using the LUMO position as an anchor, presumably known structure-activity relationships could be explained. Overall molecular similarity between oxyfluorfen and chlorophthalim was examined by molecular field fitting. The result supported LUMO position correspondence.

Structure –Activity Relationships by Autocorrelation Descriptors and Genetic Algorithms

2011 ◽  
pp. 60-94 ◽  
Author(s):  
Viviana Consonni ◽  
Roberto Todeschini
Keyword(s):  
Molecular Structure ◽  
Molecular Descriptors ◽  
Biological Activities ◽  
Chemical Properties ◽  
Structural Features ◽  
Point Of View ◽  
Structure Activity Relationships ◽  
Structure Activity ◽  
Similarity Relationships ◽  
Definition Of

Quantitative Structure-Activity Relationships (QSARs) are models relating variation of molecule properties, such as biological activities, to variation of some structural features of chemical compounds. Three main topics take part of the QSAR/QSPR approach to the scientific research: the representation of molecular structure, the definition of molecular descriptors and the chemoinformatics tools. Molecular descriptors are numerical indices encoding some information related to the molecular structure. They can be both experimental physico-chemical properties of molecules and theoretical indices calculated by mathematical formulas or computational algorithms. In the last few decades, much interest has been addressed to studying how to encompass and convert the information encoded in the molecular structure into one or more numbers used to establish quantitative relationships between structures and properties, biological activities or other experimental properties. Autocorrelation descriptors are a class of molecular descriptors based on the statistical concept of spatial autocorrelation applied to the molecular structure. The objective of this chapter is to investigate the chemical information encompassed by autocorrelation descriptors and elucidate their role in QSAR and drug design. After a short introduction to molecular descriptors from a historical point of view, the chapter will focus on reviewing the different types of autocorrelation descriptors proposed in the literature so far. Then, some methodological topics related to multivariate data analysis will be overviewed paying particular attention to analysis of similarity/diversity of chemical spaces and feature selection for multiple linear regressions. The last part of the chapter will deal with application of autocorrelation descriptors to study similarity relationships of a set of flavonoids and establish QSARs for predicting affinity constants, Ki, to the GABAA benzodiazepine receptor site, BzR.

scholarly journals Structure-activity relationships of antimutagenic flavonoids

2005 ◽  
Vol 3 (4) ◽  
pp. 11-18
Author(s):  
Orkhan N Mustafaev ◽  
Serikbay K Abilev ◽  
Viktor A Melnik ◽  
Valentin A Tarasov
Keyword(s):  
Biological Activity ◽  
Chemical Compounds ◽  
Structural Features ◽  
Keto Group ◽  
Hydroxyl Groups ◽  
Antimutagenic Activity ◽  
Structure Activity Relationships ◽  
Structure Activity

Influence of structural features of molecules on antimutagenic activity of flavonoids is investigated. For this purpose the new principle of the description of dependence of biological activity of chemical compounds from their structure is used. It is based on use compound descriptors. It is established, that antimutagenic flavonoids contains C4 keto-group and doubl bond at positions C2 and C3, contains hydroxyl groups. Thus in structure of antimutagenic flavonoids can not be amino-and nitrogroups.

Structure-activity relationships in the acronycine and benzo[b]acronycine series: Role of the pyran ring

Planta Medica ◽  
2008 ◽  
Vol 74 (09) ◽  
Author(s):  
Q Do ◽  
H Doan Thi Mai ◽  
T Gaslonde ◽  
B Pfeiffer ◽  
S Léonce ◽  
...  
Keyword(s):  
Pyran Ring ◽  
Structure Activity Relationships ◽  
Structure Activity

Structure activity-relationships of P-Glycoprotein modulation using a small library of macrocyclic lathyrane diterpenes

Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
M Reis ◽  
RJ Ferreira ◽  
MMM Santos ◽  
DJVA dos Santos ◽  
J Molnár ◽  
...  
Keyword(s):  
Structure Activity Relationships ◽  
Structure Activity ◽  
P Glycoprotein

HAZARD: An Expert System for Risk Assessment of Environmental Chemicals

1987 ◽  
Vol 26 (01) ◽  
pp. 13-23 ◽  
Author(s):  
H. W. Gottinger
Keyword(s):  
Expert System ◽  
Structural Information ◽  
Chemical Carcinogenesis ◽  
Structural Features ◽  
Environmental Chemicals ◽  
Chemical Carcinogens ◽  
Carcinogenic Activity ◽  
Current State ◽  
Structure Activity ◽  
Carcinogenic Potential

AbstractThe purpose of this paper is to report on an expert system in design that screens for potential hazards from environmental chemicals on the basis of structure-activity relationships in the study of chemical carcinogenesis, particularly with respect to analyzing the current state of known structural information about chemical carcinogens and predicting the possible carcinogenicity of untested chemicals. The structure-activity tree serves as an index of known chemical structure features associated with carcinogenic activity. The basic units of the tree are the principal recognized classes of chemical carcinogens that are subdivided into subclasses known as nodes according to specific structural features that may reflect differences in carcinogenic potential among chemicals in the class. An analysis of a computerized data base of known carcinogens (knowledge base) is proposed using the structure-activity tree in order to test the validity of the tree as a classification scheme (inference engine).

Sign in / Sign up

Export Citation Format

Share Document