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    QSRR study of psychiatric drugs using classification and regression trees combined with adaptive neuro-fuzzy inference system

    , Article QSAR and Combinatorial Science ; Volume 27, Issue 6 , 2008 , Pages 729-739 ; 1611020X (ISSN) Jalali Heravi, M ; Shahbazikhah, P ; Ghadiri Bidhendi, A ; Sharif University of Technology
    A new Quantitative Structure-Retention Relationship (QSRR) approach was carried out for prediction of gas-liquid retention times of 124 psychiatric drugs in whole blood on fused-silica capillary column coated with crosslinked methylsilicone with nitrogen-phosphorus detection. After screening the descriptors, a total of 699 topological, geometric, and electronic descriptors (zero-to three-dimensional) representing various structural characteristics were calculated for each molecule in the dataset. Combined method of Classification and Regression Tree (CART) as a feature selection method for the extraction of four relevant descriptors and Adaptive Neuro-Fuzzy Inference System (ANFIS) as a... 

    Burgeoning polymer nano blends for improved controlled drug release: A review

    , Article International Journal of Nanomedicine ; Volume 15 , March , 2020 , Pages 4363-4392 Maghsoudi, S ; Shahraki, B. T ; Rabiee, N ; Fatahi, Y ; Dinarvand, R ; Tavakolizadeh, M ; Ahmadi, S ; Rabiee, M ; Bagherzadeh, M ; Pourjavadi, A ; Farhadnejad, H ; Tahriri, M ; Webster, T. J ; Tayebi, L ; Sharif University of Technology
    Dove Medical Press Ltd  2020
    With continual rapid developments in the biomedical field and understanding of the important mechanisms and pharmacokinetics of biological molecules, controlled drug delivery systems (CDDSs) have been at the forefront over conventional drug delivery systems. Over the past several years, scientists have placed boundless energy and time into exploiting a wide variety of excipients, particularly diverse polymers, both natural and synthetic. More recently, the development of nano polymer blends has achieved noteworthy attention due to their amazing properties, such as biocompatibility, biodegradability and more importantly, their pivotal role in controlled and sustained drug release in vitro and... 

    Quantitative structure - Mobility relationship study of a diverse set of organic acids using classification and regression trees and adaptive neuro-fuzzy inference systems

    , Article Electrophoresis ; Volume 29, Issue 2 , 2008 , Pages 363-374 ; 01730835 (ISSN) Jalali Heravi, M ; Shahbazikhah, P ; Sharif University of Technology
    A quantitative structure-mobility relationship was developed to accurately predict the electrophoretic mobility of organic acids. The absolute electrophoretic mobilities (μ0) of a diverse dataset consisting of 115 carboxylic and sulfonic acids were investigated. A set of 1195 zero- to three-dimensional descriptors representing various structural characteristics was calculated for each molecule in the dataset. Classification and regression trees were successfully used as a descriptor selection method. Four descriptors were selected and used as inputs for adaptive neuro-fuzzy inference system. The root mean square errors for the calibration and prediction sets are 1.61 and 2.27, respectively,... 

    Oncolytic paramyxoviruses-induced autophagy; A prudent weapon for cancer therapy

    , Article Journal of Biomedical Science ; Volume 26, Issue 1 , 2019 ; 10217770 (ISSN) Keshavarz, M ; Solaymani Mohammadi, F ; Miri, S. M ; Ghaemi, A ; Sharif University of Technology
    BioMed Central Ltd  2019
    Oncolytic virotherapy has currently emerged as a promising approach upon which scientists have been able to induce tumor-specific cell death in a broad spectrum of malignancies. Paramyxoviruses represent intrinsic oncolytic capability, which makes them excellent candidates to be widely used in oncolytic virotherapy. The mechanisms through which these viruses destroy the cancerous cells involve triggering the autophagic machinery and apoptosis in target cells. Interestingly, oncolytic paramyxoviruses have been found to induce autophagy and lead to tumor cells death rather than their survival. Indeed, the induction of autophagy has been revealed to enhance the immunogenicity of tumor cells via... 

    Challenges and future prospects for the delivery of biologics: oral mucosal, pulmonary, and transdermal routes

    , Article AAPS Journal ; Volume 19, Issue 3 , 2017 , Pages 652-668 ; 15507416 (ISSN) Morales, J. O ; Fathe, K. R ; Brunaugh, A ; Ferrati, S ; Li, S ; Montenegro Nicolini, M ; Mousavikhamene, Z ; McConville, J. T ; Prausnitz, M. R ; Smyth, H. D. C ; Sharif University of Technology
    Springer New York LLC  2017
    Biologic products are large molecules such as proteins, peptides, nucleic acids, etc., which have already produced many new drugs for clinical use in the last decades. Due to the inherent challenges faced by biologics after oral administration (e.g., acidic stomach pH, digestive enzymes, and limited permeation through the gastrointestinal tract), several alternative routes of administration have been investigated to enable sufficient drug absorption into systemic circulation. This review describes the buccal, sublingual, pulmonary, and transdermal routes of administration for biologics with relevant details of the respective barriers. While all these routes avoid transit through the... 

    An integrated analysis to predict micro-RNAs targeting both stemness and metastasis in breast cancer stem cells

    , Article Journal of Cellular and Molecular Medicine ; Volume 23, Issue 4 , 2019 , Pages 2442-2456 ; 15821838 (ISSN) Rahimi, M ; Sharifi Zarchi, A ; Firouzi, J ; Azimi, M ; Zarghami, N ; Alizadeh, E ; Ebrahimi, M ; Sharif University of Technology
    Blackwell Publishing Inc  2019
    Several evidences support the idea that a small population of tumour cells representing self-renewal potential are involved in initiation, maintenance, metastasis, and outcomes of cancer therapy. Elucidation of microRNAs/genes regulatory networks activated in cancer stem cells (CSCs) is necessary for the identification of new targets for cancer therapy. The aim of the present study was to predict the miRNAs pattern, which can target both metastasis and self-renewal pathways using integration of literature and data mining. For this purpose, mammospheres derived from MCF-7, MDA-MB231, and MDA-MB468 were used as breast CSCs model. They had higher migration, invasion, and colony formation...