Graph theory-based simulation tools for protein structure networks

Kantelis, Konstantinos; Asteriou, Vassilios; Papadimitriou-Tsantarliotou, Aliki; Petrou, Anthi; Angelis, Lefteris; Nikopolitidis, Petros; Papadimitriou, Georgios I.; Vizirianakis, Ioannis S.

doi:10.1016/j.simpat.2022.102640

Cited by 8 publications

(3 citation statements)

References 83 publications

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“…Luaran penelitian ini adanya sebuah alat untuk memonitoring daya dan pengkonversian energi menggunakan ATMega16 dan menggunakan regulator untuk menghasilkan tegangan yang tidak melebihi tegangan karakteristik dari regulator yang digunakan [6]. Alat ini juga menggunakan sensor ACS712 dimana sensor ini dikatakan masih belum stabil dalam kerjanya namun masih bisa dipakai untuk memonitoring disetiap kamarnya [7,8].…”

Section: Pendahuluanunclassified

Sistem Monitoring Pemakaian Energi Listrik Pada Kamar Kost Menggunakan Aplikasi Blynk Berbasis Internet of Things

Lulu Sabillah,

Hidayat

2023

komets

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Currently, the electrical energy monitoring system can only be monitored by PLN. Electricity users can usually only see the amount of usage each month without knowing electricity usage at any time. Excessive use of electricity will cause payments to increase. Therefore, this research was conducted to monitor the electrical power used in boarding houses via an internet connection using the blynk application. This study aims to determine the amount of electrical energy consumption every day. This lot-based monitoring tool uses the PZEM-004T sensor to read the amount of electrical energy consumption such as voltage, current, power and energy. As for the media interface that displays the amount of electrical energy consumption using the LCD and the Blynk application.

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Section: Pendahuluanunclassified

Sistem Monitoring Pemakaian Energi Listrik Pada Kamar Kost Menggunakan Aplikasi Blynk Berbasis Internet of Things

Lulu Sabillah,

Hidayat

2023

komets

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“…The applications of graphs and simplified three-dimensional networks to analyze protein structures and functions have been widely developed [ 36 , 37 , 38 , 39 ]. It was established early that graphs representing protein structures share the characteristics of small-world networks [ 40 , 41 , 42 , 43 ].…”

Section: Introductionmentioning

confidence: 99%

Einstein Model of a Graph to Characterize Protein Folded/Unfolded States

Tyler,

Laforge,

Guzzo

et al. 2023

Molecules

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The folded structures of proteins can be accurately predicted by deep learning algorithms from their amino-acid sequences. By contrast, in spite of decades of research studies, the prediction of folding pathways and the unfolded and misfolded states of proteins, which are intimately related to diseases, remains challenging. A two-state (folded/unfolded) description of protein folding dynamics hides the complexity of the unfolded and misfolded microstates. Here, we focus on the development of simplified order parameters to decipher the complexity of disordered protein structures. First, we show that any connected, undirected, and simple graph can be associated with a linear chain of atoms in thermal equilibrium. This analogy provides an interpretation of the usual topological descriptors of a graph, namely the Kirchhoff index and Randić resistance, in terms of effective force constants of a linear chain. We derive an exact relation between the Kirchhoff index and the average shortest path length for a linear graph and define the free energies of a graph using an Einstein model. Second, we represent the three-dimensional protein structures by connected, undirected, and simple graphs. As a proof of concept, we compute the topological descriptors and the graph free energies for an all-atom molecular dynamics trajectory of folding/unfolding events of the proteins Trp-cage and HP-36 and for the ensemble of experimental NMR models of Trp-cage. The present work shows that the local, nonlocal, and global force constants and free energies of a graph are promising tools to quantify unfolded/disordered protein states and folding/unfolding dynamics. In particular, they allow the detection of transient misfolded rigid states.

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“…Using sensors and internet connectivity, these automatic feeders can be controlled and monitored remotely through connected devices such as smartphones or tablets. Pet owners can set feeding schedules, track food consumption, and even give feed directly through an app or platform connected to the automatic feeders [4,5].…”

Section: Introductionmentioning

confidence: 99%

Automatic fish feeders for fish farming in aquariumsbased on the Internet of Things (IOT)

Handoko Putra,

Imron,

Adhitya

et al. 2023

komets

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In fish farming, there is a lot of time in feeding irregularly or many farmers who have many fish aquariums but have difficulty in feeding because of the inefficiency of very little time and resulting in many fish causing stress and some fish that die. This research presents an innovation that changes the way to care for fish in an aquarium. Using Internet of Things (IoT) technology and Arduino Uno, this automatic fish feeding system was created with a focus on energy efficiency and fish welfare. With an internet connection, farmers can control and monitor the feeders through an app. The system also optimizes the use of electrical energy and monitors the environmental conditions of the aquarium in real time. This research offers a stunning innovation, combining technology and sustainability to better care for fish.

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Graph theory-based simulation tools for protein structure networks

Cited by 8 publications

References 83 publications

Sistem Monitoring Pemakaian Energi Listrik Pada Kamar Kost Menggunakan Aplikasi Blynk Berbasis Internet of Things

Sistem Monitoring Pemakaian Energi Listrik Pada Kamar Kost Menggunakan Aplikasi Blynk Berbasis Internet of Things

Einstein Model of a Graph to Characterize Protein Folded/Unfolded States

Automatic fish feeders for fish farming in aquariumsbased on the Internet of Things (IOT)

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