This is the slideshow presentation of talk by Prof. Cristian R. Munteanu presented as part of the NEURODAT’21 training program funded by IBRO-PERC Soft Skills Training call of the International Brain Research Organization (IBRO) and the Pan-Europe Regional Committee (PERC). NEURODAT’21 is devoted to promote soft skills on entry level medicine and also STEMS area students interested on neurosciences. The talk includes two parts, part 1 focuses on Deep Learning models introduction and part 2 focuses on applications to medical diagnosis in Neurosciences. In this second part the talk introduces concepts Computer Assisted Diagnosis systems (CAD), Convolution Neural Network, etc. and also presents a practical case focused on Alzheimer’s disease diagnosis. Language note: English-Spanish bi-lingual talk and English text.

Description. Welcome to Prof. PhD. Cristian Robert Munteanu invited talk cover and tutoring channel on DeepLearning in Neurosciences. The talk is part of the NEURODAT’21 training program funded by IBRO-PERC Soft Skills Training call of the International Brain Research Organization (IBRO) and the Pan-Europe Regional Committee (PERC). NEURODAT’21 is devoted to promote soft skills on entry level medicine and also STEMS area students interested on neurosciences. On this talk the professor made an introduction to the basic concepts related to Deep Learning, Predictive Models, Artificial Neural Network, etc. and their applications in Neurosciences.

Description of channel. This channel is part of the NEURODAT’21 training program funded by IBRO-PERC Soft Skills Training call of the International Brain Research Organization (IBRO) and the Pan-Europe Regional Committee (PERC). NEURODAT’21 is a training program devoted to promote soft skills on entry level Medicine and also STEMS area students interested on Neurosciences. In this tutoring channels students will be allowed to do online public questions and comments about different topics of Deep Learning and its applications in Neurosciences. Prof. Munteanu will answer all questions within his area of expertise. This professor may interact with you in Romanian, English, or Spanish.

Talk & Channel Topics. The emphasis is on Deep Learning, Predictive Models, Artificial Neural Network, etc. and their applications in Neurosciences

Instructions for students. The steps for participation are: (1) Wait for channel starting in 2021-Dec-25, you will see a posting comments option/button, (2) Register/login with your email and password to validate your user, (3) Post your question/comment for the Prof. of the channel, (4) Wait for the email advising that professor has answered your question, (5) Make other questions related to this topic or other topics, (6) Request your attendance certificate to mol2net.chair@gmail.com or directly to the email of the professor.

General notes. (1) Students are allowed to made multiple questions following the same discussion threat or open new questions. (2) Some professors may release different materials, slides, etc., that the student can use to study and/or follow the discussion, click the button bellow to see the pdf files. (3) Language note: some professors allow students to select their favorite language of interaction according to professor communications skills, accordingly materials, questions, and answers may appear in these languages. (4) The channel will be open until conference finish the post-publication stage, contact chairpersons for doubts: mol2net.chair@gmail.com

Aspergillus flavus is a major producer of aflatoxin in almonds, causing fungal decay and posing a significant threat to human health. Lactobacillus kefiri MH107106 was used to inhibit the growth of A. flavus 15UA005, an aflatoxin producing strain previously isolated from curcumin. The inhibition effect in vitro was tested in Malt Extract Agar (MEA), while in vivo effect was examined in almonds. Results showed that L. kefiri strain inhibited 51.67% of Aspergillus flavus growth in agar medium. The cell-free supernatants (CFS) from L. kefiri reduced 40.56 % of fungal growth, while, no inhibition was observed for A. flavus treated with the cell-free supernatants at pH7 (CFS-pH7). Additionally, the strain L. kefiri inhibited the production of AFB1 and AFB2 by 97.22% and 95.27%, respectively. In the other hand, the inoculation of L. kefiri in almonds artificially contaminated with A. flavus decrease 85.27% of AFB1 and 83.94% of AFB2 content after 7 days of incubation. This study reveals that L. kefiri could be a promising natural agent for an effective bio-control, non-toxic bio-preservative, and an eco-friendly alternative to synthetic additives against A. flavus in almonds.

PARTIAL PURIFICATION AND CHARACTERIZATION BY FLUORIMETRY OF LACTOFERRIN OF GOATS

Introduction: Lactoferrin (Lf) is a salmon red whey protein with a large molecular size of about 80 KDa, being found in milk and to a lesser extent in bile and tears. Lf is a cationic molecule that presents an isoelectric point (pI) around 8.0 to 8.5 having positive charges on its surface being this characteristic of paramount importance so that this protein can exert its biologicalactivities, and can be located in different mammalian species. Lf is known as a multifunctional protein, very important in the innate immunity system, because it can respond in various ways to physiological changes, present in several studies as a preventive and therapeutic treatment, because it presents antimicrobial, antifungal, immunomodulatory, antitumor, antiviral, neutralization of bioactive substances, among others. The workis to purify and characterize lactoferrin from goat's milk, monitoring purification by hydromyometry techniques. Materiais and methods: Skimmed milk was obtained by separating the fat from goat milk by centrifugation and acidified subsequently with HCl 0.1 M to pH 4,1, obtaining theacid serum. The acid serum foi neutralized with NaOH 0.1 M up to pH 6.8 and then centrifuged. A 50 mL rate of the sobrenatant submitted to Titration with NaOH 0.1N was removed up to pH8.0 and 8.3 and centrifuged afterwards. The utra aliquot of 50 mL was removed and submitted to saline precipitation profiles of 0-20%, 20-40%, 40-60% and 60-80% saturation of (NH₄) ₂SO₄. Fluorimetric analyses of isoelectric points and salt fractions were performed under excitation length conditions at 290 nm and emission wavelengths between 300-550 nm. Results and discussions: The isolation profile of Lf by (pI) pH 8.0, pH 8.3 presentor the fluorescence spectrum characteristic of lactoferrin (peak at 332 nm), while in the characterization by SDS PAGE 12%, using commercial lactoferrin (SIGMA) as astandard showing an isolation of the caprine Lf with the presence of other proteins. While the saline precipitation profiles of 0-20%, 20-40%, 40-60% and 60-80% saturation of (NH₄)₂SO₄ also presented the spectrum of fluorescence characteristic of lactoferrin. However, the profile of the precipitate resuspendidoof 40-60% showed the spectrum of fluorescence extinction characteristic of lactoferrin with higher protein concentration. Conclusion: In the present study, it was possible to partially purify caprine lactoferrin by means of isolation using precipitations by isoelectric and saline points with saturation with (NH₄) ₂SO₄ being monitored by hydromyometry.

Coronaviruses are important animal and human pathogens. Towards the end of 2019, a novel coronavirus was identified in Wuhan, China, the basis of which consisted of a cluster of pneumonia problems. Its quick spread resulted in a worldwide pandemic. This research was aimed to document detailed ethnopharmacological information on the medicinal plant species used by herbalists against coronavirus disease. The study was conducted in Salé Prefecture, from March 1st, 2020 to May 31st, 2020. Semi-structured direct interviews were held with 30 herbalists to collect the socio-demographic features, the name of local species, and traditional remedies. The data were analyzed through the use reports (UR) and medicinal use value (MUV). In total, 20 plant species from 20 genera and 14 families had been the most frequently used by herbalists from Salé Prefecture for the prevention and treatment of Sars-CoV-2. The most mentioned plant is Eucalyptus globulus Labill, followed by Azadirachta indica A. Juss, and Ziziphus lotus (L.) Lam. Moreover, the most commonly used plant parts for herbal preparations were leaves (28.43%) and seeds (17.5%), whereas the majority of remedies were prepared through infusion. The present study is the first contribution to the ethnopharmacological of this Prefecture. It is recommended that the constituents of indigenous species be studied to determine the therapeutic effects and mechanisms of action. Urgent attention must be paid to the conservation of medicinal species, in addition to comprehensive documentation of traditional medicinal knowledge, on top of phytochemical validation of reported plants.

The aim of this study was to validate immunotoxic and oxidative stress responses as ecotoxicological biomarkers in the carpet shell clams (Ruditapes decussatus) to detect and monitor biological effects of anthropogenic pollution in the South Lagoon of Tunis (Tunisia). Clams were collected from four sites: three of them were located within the polluted lagoon of Tunis (S1, S2 and S3) and another one was allocated in a clean site on the Mediterranean coast (SR). Oxidative and immune status of clams was evaluated through the analysis of glutathione S- transferases, glutathione-peroxidase, catalase, lectin and antibacterial activities and total haemocyte count. Our results revealed activation of antioxidant enzymes and immune alteration in clams sampled from contaminated sites. Overall, the current study clearly showed that affected biomarkers could be useful tools for biomonitoring in the study area.

Description of the channel. Welcome to Prof. Sonia Arrasate tutoring channel on Chemical Neurosciences. This channel is part of the NEURODAT’21 training program funded by IBRO-PERC Soft Skills Training call of the International Brain Research Organization (IBRO) and the Pan-Europe Regional Committee (PERC). NEURODAT’21 is a training program devoted to promote soft skills on entry level Medicine and also STEMS area students interested on Neurosciences. In this tutoring channels students will be allowed to do online public questions and comments about different topics of Chemical Neurosciences. Prof. Arrasate will answer all questions within his area of expertise. This professor may interact with you in Euskera (Basque Language), English, or Spanish.

Topics of the channel. Organic synthesis, chemical characterization, NMR, IR, Mass Spectroscopy, of chemical compounds with biological activity over the central nervous system. Data analysis, Machine Learning, Chemoinformatics, QSAR study compounds with biological activity over the central nervous system.

Instructions for students. The steps for participation are: (1) Wait for channel starting in 2021-Dec-25, you will see a posting comments option/button,
(2) Register/login with your email and password to validate your user, (3) Post your question/comment for the Prof. of the channel, (4) Wait for the email advising that professor has answered your question, (5) Make other questions related to this topic or other topics, (6) Request your attendance certificate to mol2net.chair@gmail.com or directly to the email of the professor.

General notes. (1) Students are allowed to made multiple questions following the same discussion threat or open new questions. (2) Some professors may release different materials, slides, etc., that the student can use to study and/or follow the discussion, click the button bellow to see the pdf files. (3) Language note: some professors allow students to select their favorite language of interaction according to professor communications skills, accordingly materials, questions, and answers may appear in these languages. (4) The channel will be open until conference finish the post-publication stage, contact chairpersons for doubts: mol2net.chair@gmail.com

Medicinal plants are a rich source of bioactive compounds, combination therapy of two plants treatment is gaining more prominence because of synergistic therapeutic effects. But, characterizing the molecular synergism activity of two medicinal herbal sources against specific drug targets in cancer is still considered a painstaking task that requires more meticulous screening, human intervention and high experimental resources. To understand the rationale, an integrated network pharmacology approach was introduced to understand the interaction network between compounds and drug targets. The interaction was constructed for compounds possessing >50% drug-likeness, non-mutagen non-carcinogen. Also, these compounds were compared in the activity landscape in a database of collective molecular activities of useful plants, only compounds <100µm were considered for bimolecular interaction with human drug target proteins. Further, a Venn diagram was constructed between genes of breast cancer and the gene that are mapped with Andrographis paniculata and Cardiospermum halicacabum. The STRING database was used to construct a protein-protein interaction network and relationships of each gene were analyzed. Consequently, GO biological function analysis and KEGG enrichment analysis for crucial targets were performed. Finally, docking of phytochemicals with drug target protein was carried out and its active site pharmacophore was reported. Thus, active ingredients owning pharmacophores of phenols and flavonoids exhibiting strong molecular interaction can be served as drug candidates for treating breast cancer. Moreover, herbal-based compounds potentially have fewer side effects and are safe for treatment.

Description. Welcome to Prof. PhD. Humberto González-Díaz invited talk cover and tutoring channel on Chem-Bioinformatics & Nano-Informatics in Neurosciences. The talk is part of the NEURODAT’21 training program funded by IBRO-PERC Soft Skills Training call of the International Brain Research Organization (IBRO) and the Pan-Europe Regional Committee (PERC). NEURODAT’21 is devoted to promote soft skills on entry level medicine and also STEMS area students interested on neurosciences. On this talk the professor made an introduction to the basic concepts related to Chem-Bioinformatics and Nano-Informatics with applications in Neurosciences.

Description of channel. This channel is part of the NEURODAT’21 training program funded by IBRO-PERC Soft Skills Training call of the International Brain Research Organization (IBRO) and the Pan-Europe Regional Committee (PERC). NEURODAT’21 is a training program devoted to promote soft skills on entry level Medicine and also STEMS area students interested on Neurosciences. In this tutoring channels students will be allowed to do online public questions and comments about different topics of Deep Learning and its applications in Neurosciences. Prof. Gnozalez-Diaz will answer all questions within his area of expertise. This professor may interact with you in English, or Spanish. Galego and Euskera can be used also for short comments and written questions/answers.

Talk & Channel Topics. The emphasis is on use in Neurosciences of Chem-Bioninformatics and Nanoinformatics, Molecular Descriptors, Computer Aided Drug Discovery (CADD), Machine Learning, Multi-output models, Multi-label classification, Information Fusion Perturbation-Theory Machine Learning (IFPTML) models, Complex Networks, Protein Interactions Networks (PINs), Metabolic Networks, Brain Cortex Networks, etc.

Instructions for students. The steps for participation are: (1) Wait for channel starting in 2021-Dec-25, you will see a posting comments option/button, (2) Register/login with your email and password to validate your user, (3) Post your question/comment for the Prof. of the channel, (4) Wait for the email advising that professor has answered your question, (5) Make other questions related to this topic or other topics, (6) Request your attendance certificate to mol2net.chair@gmail.com or directly to the email of the professor.

General notes. (1) Students are allowed to made multiple questions following the same discussion threat or open new questions. (2) Some professors may release different materials, slides, etc., that the student can use to study and/or follow the discussion, click the button bellow to see the pdf files. (3) Language note: some professors allow students to select their favorite language of interaction according to professor communications skills, accordingly materials, questions, and answers may appear in these languages. (4) The channel will be open until conference finish the post-publication stage, contact chairpersons for doubts: mol2net.chair@gmail.com

Description. Welcome to PhD. Aliuska Duardo-Sánchez invited talk cover and tutoring channel on Chair of Law and Human Genome. Faculty of LawUniversity of the Basque Country. The talk is part of the NEURODAT’21 training program funded by IBRO-PERC Soft Skills Training call of the International Brain Research Organization (IBRO) and the Pan-Europe Regional Committee (PERC). NEURODAT’21 is devoted to promote soft skills on entry level medicine and also STEMS area students interested on neurosciences. On this talk the professor made an introduction to the basic concepts related to intellectual property, intelligent systems, etc. of interest for Neurosciences, Medicine, and STEM students.

Description of channel. This channel is part of the NEURODAT’21 training program funded by IBRO-PERC Soft Skills Training call of the International Brain Research Organization (IBRO) and the Pan-Europe Regional Committee (PERC). NEURODAT’21 is a training program devoted to promote soft skills on entry level Medicine and also STEMS area students interested on Neurosciences. In this tutoring channels students will be allowed to do online public questions and comments about different topics.

Talk & Channel Topics. The emphasis is on use in Intellectual Property, Intelligent systems, artificial intelligence, copyright, regulatory issues, software.

Instructions for students. The steps for participation are: (1) Wait for channel starting in 2021-Dec-25, you will see a posting comments option/button, (2) Register/login with your email and password to validate your user, (3) Post your question/comment for the Prof. of the channel, (4) Wait for the email advising that professor has answered your question, (5) Make other questions related to this topic or other topics, (6) Request your attendance certificate to mol2net.chair@gmail.com or directly to the email of the professor.