aragine, serine, aspartate can be considered to be valuable biomarkers for neurofibromatosis type I. This present study is the first to build models for neurofibromatosis Type I screening using plasma free amino acids and the amino acid profile will guide the predicting of the complications that may occur during the course of the disease.
 The current research predicates that eight amino acids, nsmely methionine, arginine, cystine, glutamine, proline, asparagine, serine, aspartate can be considered to be valuable biomarkers for neurofibromatosis type I. This present study is the first to build models for neurofibromatosis Type I screening using plasma free amino acids and the amino acid profile will guide the predicting of the complications that may occur during the course of the disease.
  Currently, the use of ingredients from natural sources has gained great attention in cosmetic field especially for the development of new photoprotective formulations. Therefore, the present study aimed to evaluate the cosmetic potential of the methanolic crude extract and the ethyl acetate fraction of the medicinal halophyte Tamarix gallica (Tg) growing in the area of Tebessa in eastern of Algeria, by assessing their phenolic and flavonoid contents, photoprotective and antioxidant activities.
 
  The research approach consisted of determination phenolic and flavonoid contents of aerial parts via FolinCiocalteu and aluminum chloride methods respectively. The antioxidant activity was measured through two in vitro methods DPPH radical scavenging activity and total antioxidant capacity test (TAC). The in vitro photoprotective effect was performed according to the parameter SPF (Sun Protection Factor) by using UV spectroscopic method in UV-B region (290-320 nm).
 
  The methanolic extract (Tg-MeOH) and ethyl acetate (Tg-EtOAc) fraction showed good antioxidant activity with IC50's 14,05±0,66, 27,58±1,98 µg/mL respectively in DPPH test. Furthermore, both extracts displayed strong total antioxidant capacity (287.01±7.85, 246.7±1.12 mg AAE/g, respectively) in TAC test. Both extracts exhibited high photoprotective activity, with sun protection factor (SPF) values 37.03±0.22 and 36.08±0.03. The antioxidant and photoprotective activities of these extracts is probably related to polyphenols content (190.27±0.74 mg AGE /g and 121.77±1.29 mg AGE /g, respectively) , and flavonoids (78.75±0.06 mg QE /g and 58.67±1.19mg/g).
 
  Our finding show that extracts of Tamarix gallica L could be a promising source to be mixed as natural sunscreens and antioxidants agent into photoprotective cosmetic formulations.
 Our finding show that extracts of Tamarix gallica L could be a promising source to be mixed as natural sunscreens and antioxidants agent into photoprotective cosmetic formulations.
  Missense mutation (MM) may lead to various human diseases by disabling proteins. Accurate prediction of MM is important and challenging for both protein function annotation and drug design. Although several computational methods yielded acceptable success rates, there is still room for further enhancing the prediction performance of MM.
 
  In the present study, we designed a new feature extracting method, which considers the impact degree of residues in the microenvironment range to the mutation site. Stringent cross-validation and independent test on benchmark datasets were performed to evaluate the efficacy of the proposed feature extracting method. Furthermore, three heterogeneous prediction models were trained and then ensembled for the final prediction.
 
  By combining the feature representation method and classifier ensemble technique, we reported a novel MM predictor called TargetMM for identifying the pathogenic mutations from the neutral ones.
 
  Comparison outcomes based on statistical evaluation demonstrate that TargetMM outperforms the prior advanced methods on the independent test data. The source code and benchmark datasets of TargetMM are freely available at https//github.com/sera616/TargetMM.git for academic use.
 Comparison outcomes based on statistical evaluation demonstrate that TargetMM outperforms the prior advanced methods on the independent test data. The source code and benchmark datasets of TargetMM are freely available at https//github.com/sera616/TargetMM.git for academic use.
  Lung cancer is the most common cancer which contributes to the majority of death caused by cancer where non-small-cell lung cancer (NSCLC) accounts for approximately 85%. To treat NSCLC, STAT3 has been identified as a target with therapeutic potential. The neobavaisoflavone (NBIF) is one of the flavonoids of traditional Chinese medicine Psoralea corylifolial.
 
  Human NSCLC cell lines, PC-9, H460 and A549, were applied to determine NBIF's antiproliferative effects through cell viability and colony formation detection. The effect of NBIF on cell apoptosis was determined through Flow cytometry-based assay. Western blotting was used in this study to confirm the levels of P-STAT3 and Bcl-2 and Bax which are apoptotic proteins.
 
  It was observed that NBIF could decrease the cell viability and migration and induce apoptosis in human NSCLC cell lines dose-dependently. Levels of P-STAT3, as well as the downstream signals of STAT3 pathway, were downregulated, suggesting that the tumor-suppression effects of NBIF might be related to the inhibition of STAT3 signaling. Furthermore, NBIF could contribute to the upregulation of BAX and downregulation of BCL2.
 
  NBIF might perform the anti-NSCLC efficacy as a result of the inhibition on STAT3 pathway. Besides, our work suggests that NBIF could provide therapeutic alternatives for NSCLC.
 NBIF might perform the anti-NSCLC efficacy as a result of the inhibition on STAT3 pathway.  https://www.selleckchem.com/products/CP-690550.html  Besides, our work suggests that NBIF could provide therapeutic alternatives for NSCLC.
  The spread of COVID-19 has become growing cause of mortalities over the globe since its major outbreak in December 2019. The scientific and medical communities are rallying to study different strains and probable mutations to develop more rapid and reliable molecular diagnostic tests and possible therapeutic approaches for SARSCoV-2.
 
  In the first section, following the introductory part, we shed light on structural and pathogenic features of SARS-CoV-2 and risk factors related to age, gender, neonatal and comorbidities. The next section summarizes the current diagnostic tests for COVID-19 such as nucleic acid and computed tomography (CT) techniques with further emphasizing on emerging diagnostic approaches for COVID-19.
 
  Further, we also review the ongoing therapeutic practices which can block virus-host interaction, cease viral proliferation or inhibit hyperbolic host immune response with subsections on drug therapy, cell therapy, immunotherapy and herbal medicines which are being used for the possible treatment of patients.