Cristian R. Munteanu
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View article: IL-1R2 as a Precision Therapeutic Target in Sepsis: Molecular Insights into Immune Regulation
IL-1R2 as a Precision Therapeutic Target in Sepsis: Molecular Insights into Immune Regulation Open
Sepsis is a life-threatening condition characterized by systemic inflammation and organ dysfunction, with a complex and not yet fully elucidated molecular basis. Central to its pathogenesis is a dysregulated immune response. In this study,…
View article: In vitro protein digestibility of gluten-free climate-smart cowpea-based pasta
In vitro protein digestibility of gluten-free climate-smart cowpea-based pasta Open
View article: Rampant Interkingdom Horizontal Gene Transfer in Pezizomycotina? An Updated Inspection of Anomalous Phylogenies
Rampant Interkingdom Horizontal Gene Transfer in Pezizomycotina? An Updated Inspection of Anomalous Phylogenies Open
Horizontal gene transfer (HGT) is a significant source of diversity in prokaryotes and a key factor in their genome evolution. Although similar processes have been postulated for eukaryotes, the validity of HGT’s impact remains contested, …
View article: Application of Tabular Transformer Architectures for Operating System Fingerprinting
Application of Tabular Transformer Architectures for Operating System Fingerprinting Open
Operating System (OS) fingerprinting is essential for network management and cybersecurity, enabling accurate device identification based on network traffic analysis. Traditional rule-based tools such as Nmap and p0f face challenges in dyn…
View article: Culinary properties, nutritional quality, and in vitro starch digestibility of innovative gluten-free and climate smart cowpea-based pasta
Culinary properties, nutritional quality, and in vitro starch digestibility of innovative gluten-free and climate smart cowpea-based pasta Open
International audience
View article: Unraveling druggable cancer-driving proteins and targeted drugs using artificial intelligence and multi-omics analyses
Unraveling druggable cancer-driving proteins and targeted drugs using artificial intelligence and multi-omics analyses Open
View article: Database Bias in the Detection of Interdomain Horizontal Gene Transfer Events in Pezizomycotina
Database Bias in the Detection of Interdomain Horizontal Gene Transfer Events in Pezizomycotina Open
Horizontal gene transfer (HGT) is a widely acknowledged phenomenon in prokaryotes for generating genetic diversity. However, the impact of this process in eukaryotes, particularly interdomain HGT, is a topic of debate. Although there have …
View article: Overview on Sea Drones Evolution and their Use in Modern Warfare
Overview on Sea Drones Evolution and their Use in Modern Warfare Open
The unjustified invasion of Ukraine by the Russian Federation created the necessary conditions for the development and testing of technologies in the operational space of the traditional war theater. Considering that Ukraine has lost a lar…
View article: Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy
Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy Open
View article: Pollution Reduction Methods for an Emergency Diesel Generator Fitted Onboard a Large Container Vessel
Pollution Reduction Methods for an Emergency Diesel Generator Fitted Onboard a Large Container Vessel Open
The current study is focused on the analysis of methods and means for reducing marine engine exhaust and greenhouse gases (GHGs). The research method consists in identifying equipments that have been applied in the case of small four-strok…
View article: MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products
MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products Open
View article: MATEO: InterMolecular α-Amidoalkylation Theoretical Enantioselectivity Optimization. Online Tool for Selection and Design of Chiral Catalysts and Products
MATEO: InterMolecular α-Amidoalkylation Theoretical Enantioselectivity Optimization. Online Tool for Selection and Design of Chiral Catalysts and Products Open
The enantioselective Brønsted acid-catalyzed α-amidoalkylation reaction is a useful procedure is for the production of new drugs and natural products. In this context, Chiral Phosphoric Acid (CPA) catalysts are versatile catalysts for this…
View article: SI02_MATEO Ref Recctions.xlsx
SI02_MATEO Ref Recctions.xlsx Open
In this Figsahre repository we release the dataset used to train/validate the MATEO: InterMolecular Amidoalkylation Theoretical Enantioselectivity Optimization Web Server. SI File: SI02_MATEO Ref Recctions.xlsx Content: Da…
View article: MATEO HPTML model data
MATEO HPTML model data Open
In this Figsahre repository we release the dataset used to train/validate the MATEO: InterMolecular Amidoalkylation Theoretical Enantioselectivity Optimization Web Server. Supporting Info File: SI01_HPTML model.xlsx Conten…
View article: SECURITATEA UMANĂ ÎN CONTEXTUL CONCEPTULUI DEZVOLTĂRII DURABILE ÎN REPUBLICA MOLDOVA
SECURITATEA UMANĂ ÎN CONTEXTUL CONCEPTULUI DEZVOLTĂRII DURABILE ÎN REPUBLICA MOLDOVA Open
The article deals with the concept of human security, which relates to much more than security from violence and crime. There are many other aspect of human security such as economic, food, environment or health security. Human securit…
View article: Creation of Breaches, with the Help of Explosives, in Metal Structures under Water and on the Ground Surface
Creation of Breaches, with the Help of Explosives, in Metal Structures under Water and on the Ground Surface Open
The present research-development (CD) paper is a multidisciplinary study requested by thedivers belonging to the Diving Center. This study was initiated out of the need to make, with the helpof the smallest possible quantities of explosive…
View article: Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning
Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning Open
The theoretical prediction of drug-decorated nanoparticles (DDNPs) has become a very important task in medical applications. For the current paper, Perturbation Theory Machine Learning (PTML) models were built to predict the probability of…
View article: Applying Artificial Intelligence for Operating System Fingerprinting
Applying Artificial Intelligence for Operating System Fingerprinting Open
In the field of computer security, the possibility of knowing which specific version of an operating system is running behind a machine can be useful, to assist in a penetration test or monitor the devices connected to a specific network. …
View article: In silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19
In silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19 Open
Background: There is pressing urgency to identify therapeutic targets and drugs that allow treating COVID-19 patients effectively. Methods: We performed in silico analyses of immune system protein interactome network, single-cell RNA seque…
View article: COVID-19 prediction using chest X-ray medical images and Deep Learning
COVID-19 prediction using chest X-ray medical images and Deep Learning Open
The current project is proposing a simple, fast and free solution to predict COVID-19 using a chest X-ray image as inputs and python scripts with deep learning from Fastai package. This is a prototype classifier to be improved and implemen…
View article: A Multi-Objective Approach for Anti-Osteosarcoma Cancer Agents Discovery through Drug Repurposing
A Multi-Objective Approach for Anti-Osteosarcoma Cancer Agents Discovery through Drug Repurposing Open
Osteosarcoma is the most common type of primary malignant bone tumor. Although nowadays 5-year survival rates can reach up to 60–70%, acute complications and late effects of osteosarcoma therapy are two of the limiting factors in treatment…
View article: Drugs Repurposing Using QSAR, Docking and Molecular Dynamics for Possible Inhibitors of the SARS-CoV-2 Mpro Protease
Drugs Repurposing Using QSAR, Docking and Molecular Dynamics for Possible Inhibitors of the SARS-CoV-2 Mpro Protease Open
Wuhan, China was the epicenter of the first zoonotic transmission of the severe acute respiratory syndrome coronavirus clade 2 (SARS-CoV-2) in December 2019 and it is the causative agent of the novel human coronavirus disease 2019 (COVID-1…
View article: Perturbation-Theory Machine Learning (PTML) Multilabel Model of the ChEMBL Dataset of Preclinical Assays for Antisarcoma Compounds
Perturbation-Theory Machine Learning (PTML) Multilabel Model of the ChEMBL Dataset of Preclinical Assays for Antisarcoma Compounds Open
Sarcomas are a group of malignant neoplasms of connective tissue with a different etiology than carcinomas. The efforts to discover new drugs with antisarcoma activity have generated large datasets of multiple preclinical assays with diffe…
View article: VERY HIGH RESOLUTION LAND COVER MAPPING OF URBAN AREAS AT GLOBAL SCALE WITH CONVOLUTIONAL NEURAL NETWORKS
VERY HIGH RESOLUTION LAND COVER MAPPING OF URBAN AREAS AT GLOBAL SCALE WITH CONVOLUTIONAL NEURAL NETWORKS Open
This paper describes a methodology to produce a 7-classes land cover map of urban areas from very high resolution images and limited noisy labeled data. The objective is to make a segmentation map of a large area (a french department) with…
View article: Design and Implementation of a Physical Bitcoin Coin
Design and Implementation of a Physical Bitcoin Coin Open
[Abstract]
\nOne of the major factors hindering the adoption of crypto assets in general, and Bitcoin in particular, is the high level of complexity they present to the common user. Although physical coins are a possible solution, the need…
View article: Web Server and R Library for the Calculation of Markov Chains Molecular Descriptors
Web Server and R Library for the Calculation of Markov Chains Molecular Descriptors Open
Markov Chain Molecular Descriptors (MCDs) have been largely used to solve Cheminformatics problems. The software to perform the calculation is not always available for general users. In this work, we developed the first library in R for th…
View article: Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models
Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models Open
Drug-decorated nanoparticles (DDNPs) have important medical applications. The current work combined Perturbation Theory with Machine Learning and Information Fusion (PTMLIF). Thus, PTMLIF models were proposed to predict the probability of …
View article: Molecular docking and machine learning analysis of Abemaciclib in colon cancer
Molecular docking and machine learning analysis of Abemaciclib in colon cancer Open
View article: In Silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19
In Silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19 Open
There is pressing urgency to better understand the immunological underpinnings of the coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus clade 2 (SARS-CoV-2) in order to identify potential thera…
View article: In Silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19
In Silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19 Open
There is pressing urgency to better understand the immunological underpinnings of the coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus clade 2 (SARS-CoV-2) in order to identify potential thera…