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Articles by Saeed Soltani
Total Records ( 3 ) for Saeed Soltani
  S. Soghra Moosavi , Saeed Soltani and Mojhgan Shaikhpoor
  Present study is aimed at comparison between cytological method and polymerase chain reaction in the diagnosis of HPV infection among patients with cervical cancer. Cervical cancer is one of the common reproductive system cancers in developing countries that involve a much numbers of women annually. It is believed that human papillomavirus protein products including E6 and E7 cause transformation. Forty five women out of 166 studied ones were infected by HPV (p = 0.1). Among these 45 patients, 24 cases were recognized with HPV 16 (p = 0.2), 14 with HPV 18, 3 with both HPV 16 and HPV 18 and 4 with other types of HPV. PCR indicated 31 samples with HPV infection (24.03%) whereas cytology could only find 4 HPV infected patients (3.11%). The difference was statistically significant (p = 0.003). We conclude that PCR is more sensitive to diagnose HPV infection and also its type than cytology.
  Siamak Haddadi , Ali R. Khosravi , Mina Rostamibashman , Ali Masoudi-Nejad , Saeed Soltani and Minoo Soltani
  Fourteen isolates of Cladosporium were collected from different areas and clinical samples. These isolates were genotypically compared using RAPD (Random Amplified Polymorphic DNA) technique. The data showed high degree of polymorphism between clinical and non clinical isolates and quite low polymorphism within isolates of the same group (clinical or non clinical group). The RAPD`s results were subjected to a numerical taxonomy analysis, using UPGMA method. A phenogram was constructed for isolates Based on its structure; we concluded that genotypic data provide enough information to use the unweighted pair-group method to cluster the isolates in accordance to their respective group. The phenogram grouped in a single branch the isolates of C, G, H, K, E, J, I, M, N and F, indicating a great similarity between these fungi that are both clinical and non clinical ones and suggesting that the classification as distinct isolates may not be appropriate for these isolates of the Cladosporium.
  Saeed Soltani , Keykhosrow Keymanesh and Soroush Sardari
  This study is aimed at determining the importance of structural descriptors on bioactivity of antifungal peptides by ANN methodology. Due to vital need for novel fungicidal agents, understanding structural features of antifungal peptides and their mechanism of action is necessary. The main AFP actions are interaction with fungal membrane components, formation of membrane channels and pores and eventually fungal cell membrane degradation. Since these mechanisms depend on structural features of the peptides, study of the relationship among these features can give new insights into mode of action of antifungal peptides. In this study, Artificial Neural Network (ANN) is used to determine the key parameters in bioactivity of antifungal peptides. Among a set of 12 molecular descriptor for nearly 60 naturally originated antifungal peptide, α-helical content, hydrophobic interaction and charge positivity introduced as the most important parameters in AFPs activity. This result confirm the barrel-stave pore model (BSPM) as the most probable action mechanism of antifungal peptides.
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