Structure-Activity Relationships for the Antifungal Activity of Selective Estrogen Receptor Antagonists Related to Tamoxifen

نویسندگان

  • Arielle Butts
  • Jennifer A. Martin
  • Louis DiDone
  • Erin K. Bradley
  • Mitchell Mutz
  • Damian J. Krysan
  • Yong-Sun Bahn
چکیده

Cryptococcosis is one of the most important invasive fungal infections and is a significant contributor to the mortality associated with HIV/AIDS. As part of our program to repurpose molecules related to the selective estrogen receptor modulator (SERM) tamoxifen as anti-cryptococcal agents, we have explored the structure-activity relationships of a set of structurally diverse SERMs and tamoxifen derivatives. Our data provide the first insights into the structural requirements for the antifungal activity of this scaffold. Three key molecular characteristics affecting anti-cryptococcal activity emerged from our studies: 1) the presence of an alkylamino group tethered to one of the aromatic rings of the triphenylethylene core; 2) an appropriately sized aliphatic substituent at the 2 position of the ethylene moiety; and 3) electronegative substituents on the aromatic rings modestly improved activity. Using a cell-based assay of calmodulin antagonism, we found that the anti-cryptococcal activity of the scaffold correlates with calmodulin inhibition. Finally, we developed a homology model of C. neoformans calmodulin and used it to rationalize the structural basis for the activity of these molecules. Taken together, these data and models provide a basis for the further optimization of this promising anti-cryptococcal scaffold.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A QUANTUM CHEMICAL STUDY OF STRUCTURE -ACTIVITY RELATIONSHIPS OF DIHYDROPYRIDINE CALCIUM ANTAGONISTS

Quantum chemical (MNDo)caleulations have beenused toelucidate the molecular properties and structure - activity relationships of dihydropyridine (DHP) type calcium antagonists. There is a good corielation between the net atomic charges on various atoms of the 4 - phenyl ring of dihydropyridines and pharmacological activity. .Also, activity decreases with increasing free rotation of the phen...

متن کامل

ADENOSINE DEAMINASE ACTIVITY IN ESTROGEN RECEPTOR POSITIVE AND NEGATIVE HUMAN BREAST CANCER CELL LINES

 ABSTRACT Background: The aims of this study were to assay the activity of adenosine deaminase (ADA) in estrogen receptor positive (MCF-7) and negative (MDA-MB468) breast cancer cell lines. Methods: MDA-MB468 and MCF-7 breast cancer cell lines were cultured in complete medium, striped serum with and without 0.0 1~-LM diethylstilbestrol (DES), complete medium in the presence and absence of 111M ...

متن کامل

Comparative Study of Simultaneously and Interval Injection Estradiol and Tamoxifen on Estrogen Receptor α Expression in the Ca 1 Region of Hippocampal Pyramidal Neurons in Ovariectomized Rat

Purpose: The aim of our study is the assesment of estrogen receptor a expression in pyramidal neurons in rat CA 1hippocampus that has been ovariectomized. By using the estrogen antagonist, Tamoxifen level of expression of estrogen receptor a in these cells. Materials and Methods: To study the effect of 17- b estradiol and tamoxifen on estrogen receptors a, expression in hippocampus rats of Wist...

متن کامل

Antiestrogens: structure-activity relationships and use in breast cancer treatment

About 70% of breast tumors express estrogen receptor alpha (ERα), which mediates the proliferative effects of estrogens on breast epithelial cells, and are candidates for treatment with antiestrogens, steroidal or non-steroidal molecules designed to compete with estrogens and antagonize ERs. The variable patterns of activity of antiestrogens (AEs) in estrogen target tissues and the lack of syst...

متن کامل

QSAR studies and application of genetic algorithm - multiple linear regressions in prediction of novel p2x7 receptor antagonists’ activity

Quantitative structure-activity relationship (QSAR) models were employed for prediction the activity of P2X7 receptor antagonists. A data set consisted of 50 purine derivatives was utilized in the model construction where 40 and 10 of these compounds were in the training and test sets respectively. A suitable group of calculated molecular descriptors was selected by employing stepwise multiple ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 10  شماره 

صفحات  -

تاریخ انتشار 2015