Sharif Digital Repository

One of the goals of the current research is to investigate natural structures to inhibit Ras proteins that belong to the family of guanosine triphosphatase proteins. For example, one of the common mutations is Kras mutations, which are seen exclusively in pancreatic ductal adenocarcinoma. Changes in Kras protein expression are observed in 30 percent of lung cancer cases. Kras mutations occur in 35-45 percent of colon cancers, leading to drug resistance. Our work method in this research is that we collect a dataset of natural compounds for the target protein. Then, the binding energies of these structures with the receptor protein are calculated through Autodoc Vina. After that, using deep... 

Vimseltinib, a small molecule inhibitor, represents a promising avenue for combating cancers linked to macrophage-associated processes through its targeted action on the CSF1R tyrosine kinase receptor. CSF1R, a pivotal member of the tyrosine kinase receptor family, plays a crucial role in macrophage differentiation and function. This protein's significance is underscored in conditions such as tenosynovial giant cell tumors (TGCTs) and the presence of tumor-associated macrophages, wherein overproduction of CSF1 by neoplastic cells recruits CSF1R-dependent immune cells, fostering tumor expansion. The intricate interplay extends to tumor-associated macrophages, particularly the M2 subtype,... 

Many experimental and theoretical studies have suggested that zinc binding to Aβ could promote amyloid-β aggregation and reactive oxygen species (ROS) production induced by AD disease. Therefore, the introduction of multifunctional drugs capable of chelating zinc metal ion and inhibiting Aβ aggregation is a promising strategy in the development of AD treatment. In present study molecular docking and molecular dynamics (MD) simulations were used to evaluate the efficacy of two new bifunctional peptide drug, composed of two different domains: C-terminal hydrophobic region of Aβ and Zn2+ chelator region. To evaluate the multifunctionality of the ligands, a comprehensive set of MD simulations up... 

Prescribing and consuming drugs more than necessary is considered polypharmacy, which is both wasteful and harmful. In this study, an innovative data mining framework is developed for analyzing prescriptions regarding polypharmacy. The approach consists of three main steps: pre-modeling, modeling, and post-modeling. In the first step, after collecting and cleaning the raw data, several novel features are extracted for physicians and patients. In the modeling step, decision trees are applied to generate a set of If-Then rules to detect and describe physicians’ features or patients’ features associated with polypharmacy. A novel approach based on the response surface methodology (RSM) is... 

This project aims to design a drug to fight leukemia and some autoimmune diseases having few side effects. These drugs are composed of natural sugar and amino acid structures. Among the various treatments available, drug structures as inhibitors of enzymes involved in cancer-related cellular processes is an important treatment. Methotrexate is one of the most widely used anticancer drugs in the last half-century and treats leukemia and many autoimmune diseases such as psoriasis. It is a derivative of folic acid (vitamin B9) and one of the drugs with specific properties. It is an anti-folate whose anti-metabolic effects can help kill cancer cells. One of the problems with using this drug to... 

The aim of this study is to devise innovative compounds that impede the function of CK2α enzyme by incorporating amino acids and sugars into their molecular structure. CK2α, a catalytic subunit of CK2 enzyme, operates autonomously and is the only continuously active kinase that does not require an upstream regulator. Emerging evidence highlights CK2α's crucial role in various cancers and infectious diseases, including Covid-19, indicating that suppressing its function could provide a promising approach to improve patient outcomes. To accomplish this objective, the drug design process must take into account both pharmacokinetic and pharmacodynamic properties. Pharmacokinetics, encompassing... 

This project aims to design a novel structure that can inhibit the activitvation of the c-Met enzyme using amino acids and sugars building blocks. The c-Met enzyme is a receptor tyrosine kinase that plays a significant role in several biological activities such as cell proliferation, survival, and invasion. Abnormal activity of the enzyme is linked to the progression of various types of cancer, including breast, lung, liver, and stomach cancer. The proposed sugar amino acid conjugate structures is expected to increase stability amino acids and dipeptides in the physiological environment, improve membrane permeability via active transport mechanism, and reduce toxicity and side effects by... 

The present research devoted to the application, development and implementation of clustering, classification and regression techniques for modeling of the biological activity of different drug and drug-like molecules. At first, the prediction ability of Bayesian regression techniques was evaluated for describing and predicting the inhibition behavior of Integrin antagonists. As a next step, the complementary local search techniques have been used for improving the performances of Bayesian regularized genetic neural network (BRGNN) algorithm. The results indicated that the pattern search algorithm has a great potential to be used as a feature selection method in Chemoinformatics. In line...