Raghuram Rao Akkinepally

Prof. Raghuram Rao Akkinepally


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 February 2015 in Crystal Growth & Design
Verified
Journal Article
Closed access
JBJaswanth S. Bhandaru
Jaswanth S. Bhandaru
MNMalothu Narender
Malothu Narender
RARaghuram Rao Akkinepally
Raghuram Rao Akkinepally

1 February 2016 in Bioorganic & Medicinal Chemistry Letters
Verified
Journal Article
Closed access
MNMalothu Narender
Malothu Narender
BSBhandaru Jaswanth S
Bhandaru Jaswanth S
umasankar kulandaiveluumasankar kulandaivelu
umasankar kulandaivelu
JMJojula Malathi
Jojula Malathi
ARAdidala Raghuram Reddy
Adidala Raghuram Reddy
RARaghuram Rao Akkinepally
Raghuram Rao Akkinepally

1 August 2013 in Medicinal Chemistry
Verified
Journal Article
Closed access
PDF file
LBLakshmi Narayana Bheemanapalli
Lakshmi Narayana Bheemanapalli
BCBalakumar C
Balakumar C
VKVenkat Rao Kaki
Venkat Rao Kaki
Rajwinder KaurRajwinder Kaur
Rajwinder Kaur
RARaghuram Rao Akkinepally
Raghuram Rao Akkinepally
Abstract: Breast cancer is one of the most high-profile malignant diseases in modern society. Among postmenopausal women affected by the disease, a substantial portion has breast tumors that are estrogen-receptor positive. A common therapeutic intervention for this type of cancer is through endocrine therapy. Endocrine agents can act by either diminishing the availability or inhibiting the binding of estrogens to ER. Aromatase catalyzes the conversion of androgens to estrogens in the final step of the biosynthesis of estrogens and is therefore an attractive therapeutic target for inhibition. 3DQSAR pharmacophore modeling studies were undertaken for biphenyl derivatives as aromatase inhibitors in JEG-3 cell lines. A four-point pharmacophore with two H-bond acceptors and two aromatic rings as pharmacophoric features was developed. The pharmacophore hypothesis yielded a statistically significant 3D-QSAR model, with a correlation coefficient of R2 = 0.977 for training set molecules. The generated model showed excellent predictive power, with a correlation coefficient of Q2 = 0.946 for an external test set. The 3D-QSAR plots illustrated insights into the structure activity relationship of these compounds which may help in the design and development of potent biphenyl derivatives as new aromatase inhibitors.

25 April 2014 in Journal of Heterocyclic Chemistry
Verified
Journal Article
Closed access
PDF file
KRK. Venkata Rao
K. Venkata Rao
MPM. Raghu Prasad
M. Raghu Prasad
RARaghuram Rao Akkinepally
Raghuram Rao Akkinepally

17 January 2015
Verified
Journal Article
Open access
KSK. Sirisha
K. Sirisha
GAG. Achaiah
G. Achaiah
RARaghuram Rao Akkinepally
Raghuram Rao Akkinepally
A series of new 10-(alkylamino)-8-methyl-2, 6-dihydroimidazo[1, 2-c]pyrimido[5, 4-e]pyrimidine-5(3H)-thiones (4a-g) were subjected to molecular property prediction (drug-likeness, lipophilicity and solubility parameters) using Osiris Property Explorer, ALOGPS 2.1, Molinspiration and ACD/Chemsketch 12.0 software programmes. The calculated drug-related properties of the designed molecules were similar to those found in most marketed drugs. Amongst the proposed analogues, four promising candidates were chosen (4a-d) for synthesis on the basis of Lipinski's ‘Rule of Five’ and drug-likeness scores. The significant biological activity of the test compounds in two in vitro modes (isolated guinea pig tracheal chain preparation, isolated guinea pig ileum) supports the promise and accuracy of the prediction. Among them, 4a was the most potent antihistaminic (IC50 value of 30.2 μM; standard, chlorpheniramine maleate showed an IC50 of 14.1 μM).