CONSIDERATIONS REGARDING THE DATA SUPPLIED BY THE MANAGERIAL ACCOUNTING AND COST CALCULATION IN RELATION TO THE MANAGEMENT OF THE CONSTRUCTION-MOUNTING - INSTALLATION ENTERPRISES

The production cost is the synthetic indicator for the use of production factors in order to manufacture a product, for work execution purposes or service rendering. The costs are surveyed on a micro and macroeconomic level, bearing a considerable importance in managerial decision making. The management applied on an economical entity (enterprise) uses internal information as well as data provided by the internal and international environment. This information is used in managerial decision making as well as in the execution process that will finalise the proposed objectives. In the construction-mounting and installation units the informing activity is set as the basis for management and execution processes. It can be stated that information is one of the most valuable resources in the economic unit, together with the unit’s material, financial and human resources. The data supplied for the construction-mounting units is sent and thus used by means of an information system conceived and adapted to suit each and every economic entity.construction, accounting, production,information

Considerations regarding the data supplied by the managerial accounting and cost calculation in relation to the management of the construction-mounting - installation enterprises

The production cost is the synthetic indicator for the use of production factors in order to manufacture a product, for work execution purposes or service rendering. The costs are surveyed on a micro and macroeconomic level, bearing a considerable importance in managerial decision making. The management applied on an economical entity (enterprise) uses internal information as well as data provided by the internal and international environment. This information is used in managerial decision making as well as in the execution process that will finalise the proposed objectives. In the construction-mounting and installation units the informing activity is set as the basis for management and execution processes. It can be stated that information is one of the most valuable resources in the economic unit, together with the unit’s material, financial and human resources. The data supplied for the construction-mounting units is sent and thus used by means of an information system conceived and adapted to suit each and every economic entity

Artificial Intelligence for Drug Discovery: Are We There Yet?

Drug discovery is adapting to novel technologies such as data science, informatics, and artificial intelligence (AI) to accelerate effective treatment development while reducing costs and animal experiments. AI is transforming drug discovery, as indicated by increasing interest from investors, industrial and academic scientists, and legislators. Successful drug discovery requires optimizing properties related to pharmacodynamics, pharmacokinetics, and clinical outcomes. This review discusses the use of AI in the three pillars of drug discovery: diseases, targets, and therapeutic modalities, with a focus on small molecule drugs. AI technologies, such as generative chemistry, machine learning, and multi-property optimization, have enabled several compounds to enter clinical trials. The scientific community must carefully vet known information to address the reproducibility crisis. The full potential of AI in drug discovery can only be realized with sufficient ground truth and appropriate human intervention at later pipeline stages.Comment: 30 pages, 4 figures, 184 reference

Prediction of Ligand Activity at Subcellular Location

Understanding subcellular distribution and the mechanism of xenobiotics can help in modulating subcellular dysfunction mediated diseases. Therefore, with improved knowledge of how xenobiotics are distributed across subcellular locations and the mechanism for a specific molecule can play a crucial role in assessing drug efficacy and toxicity. Such knowledge would widen therapeutic windows by allowing specific receptors to be targeted efficiently. Based on datasets that provide information on the subcellular locations of proteins and their ligands, we developed machine learning models for 42 subcellular locations. Such models were trained and validated based on the grid search method and best models based on Cohen’s Kappa scores were selected. With the help of the state-of-the-art supercomputing facilities provided by the Texas Advanced Computing Center(TACC), we were able to develop a suite of more than 22300+ machine learning models. These machine learning models were built using 19 different fingerprints-based features for 42 different subcellular locations using 28 different ML classifiers. The web-application is available on an open portal and can be accessed at https://drugdiscovery.utep.edu/subcell/ by anyone in order to perform high-throughput cheminformatics simulations. All the data and models generated from the project are made available as open-source

A systems chemical biology study of malate synthase and isocitrate lyase inhibition in Mycobacterium tuberculosis during active and NRP growth

The ability of Mycobacterium tuberculosis (Mtb) to survive in low oxygen environments enables the bacterium to persist in a latent state within host tissues. In vitro studies of Mtb growth have identified changes in isocitrate lyase (ICL) and malate synthase (MS) that enable bacterial persistent under low oxygen and other environmentally limiting conditions. Systems chemical biology (SCB) enables us to evaluate the effects of small molecule inhibitors not only on the reaction catalyzed by malate synthase and isocitrate lyase, but the effect on the complete tricarboxylic acid cycle (TCA) by taking into account complex network relationships within that system