Pub Date : 2021-10-07DOI: 10.1109/ICABME53305.2021.9604857
Alaa Daher, Zenah Rammal
Strabismus is one of the most common eye disorders caused by a problem with the eye muscles. It is difficult to determine the degree of Strabismus in the two eyes. Reduced vision and a failure of the eyes to function together correctly, especially for 3D vision, are symptoms of this eye illness. This project aims to develop a system able to help the ophthalmologists to detect, diagnose and treat eye Strabismus and eliminate the use of glasses and some laser sessions and medicaments, which very expensive and causes pain to the patient. In the first step, signals acquired from the eyes via electrodes, were fixed on the patient's face and processed to extract specific information, whereas the gravity center (GC) of the eye movements represents the most important feature in this step. Then we use the calculated Gravity center to determine the level of vision deviation that is directly related to a problem in the eye muscles. At the next step, the ophthalmologists treat the patient using the same device through several physical exercises like games performed by the patient on the device. The obtained results demonstrate the ability of our system to classify between the normal and abnormal patient, to determine the level of abnormality or the deviation percentage, to determine the level of eye vibration and to treat many that eye disease.
{"title":"Development of a System for Detection, Diagnosis, and Treatment for Eye Strabismus Disease","authors":"Alaa Daher, Zenah Rammal","doi":"10.1109/ICABME53305.2021.9604857","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604857","url":null,"abstract":"Strabismus is one of the most common eye disorders caused by a problem with the eye muscles. It is difficult to determine the degree of Strabismus in the two eyes. Reduced vision and a failure of the eyes to function together correctly, especially for 3D vision, are symptoms of this eye illness. This project aims to develop a system able to help the ophthalmologists to detect, diagnose and treat eye Strabismus and eliminate the use of glasses and some laser sessions and medicaments, which very expensive and causes pain to the patient. In the first step, signals acquired from the eyes via electrodes, were fixed on the patient's face and processed to extract specific information, whereas the gravity center (GC) of the eye movements represents the most important feature in this step. Then we use the calculated Gravity center to determine the level of vision deviation that is directly related to a problem in the eye muscles. At the next step, the ophthalmologists treat the patient using the same device through several physical exercises like games performed by the patient on the device. The obtained results demonstrate the ability of our system to classify between the normal and abnormal patient, to determine the level of abnormality or the deviation percentage, to determine the level of eye vibration and to treat many that eye disease.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116629317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-07DOI: 10.1109/icabme53305.2021.9604821
{"title":"[Copyright notice]","authors":"","doi":"10.1109/icabme53305.2021.9604821","DOIUrl":"https://doi.org/10.1109/icabme53305.2021.9604821","url":null,"abstract":"","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"617 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117082645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-07DOI: 10.1109/ICABME53305.2021.9604895
W. Fahs, Mohammad Jaafar Housseiny, Hiba Sbeity, A. Mekdad, Jamal Haydar, Abbas Rammal
In this paper, we propose a smart home system for disabled people that recognizes their health status and diagnostic values of some symptoms and then predict if there is an upcoming disease. To build this proposed system, different sensors with raspberry pi are used to collect the symptoms diagnostic values and predict if there is an upcoming disease by implementing a neural network. Two neural network methods are utilized and compared, radial basis function (RBF) neural network and multi-layer perceptron (MLP) neural network. Simulation results show that MLP network is more accurate and efficient for our application.
{"title":"Risk Management of Smart Homes for Disabled People Based on Neural Networks and IoTs","authors":"W. Fahs, Mohammad Jaafar Housseiny, Hiba Sbeity, A. Mekdad, Jamal Haydar, Abbas Rammal","doi":"10.1109/ICABME53305.2021.9604895","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604895","url":null,"abstract":"In this paper, we propose a smart home system for disabled people that recognizes their health status and diagnostic values of some symptoms and then predict if there is an upcoming disease. To build this proposed system, different sensors with raspberry pi are used to collect the symptoms diagnostic values and predict if there is an upcoming disease by implementing a neural network. Two neural network methods are utilized and compared, radial basis function (RBF) neural network and multi-layer perceptron (MLP) neural network. Simulation results show that MLP network is more accurate and efficient for our application.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116352822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-07DOI: 10.1109/ICABME53305.2021.9604850
Zeinab Farhat, Abbas Rammal, M. Ayache
Raman spectral imaging is applied to human skin tissue fixed with formalin and embedded in paraffin. However, some restrictions may appear due to the high intensity of the paraffin signal. Extended Multiplicative Signal Correction (EMSC) is applied to correct the paraffin contribution of the Raman spectral image. For this purpose, the paraffin signal must be modeled as precisely as possible. In this paper, we propose to apply the matrix decomposition method such as Principal Component Analysis (PCA) to model the components of pure paraffin in the digital dewaxing technique. Then, the corrected spectra obtained using EMSC and PCA are classified using K-means, and compared with spectra obtained using classical EMSC result.
{"title":"Digital deparaffinization of Raman spectral image acquired on FFPE human skin tissue","authors":"Zeinab Farhat, Abbas Rammal, M. Ayache","doi":"10.1109/ICABME53305.2021.9604850","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604850","url":null,"abstract":"Raman spectral imaging is applied to human skin tissue fixed with formalin and embedded in paraffin. However, some restrictions may appear due to the high intensity of the paraffin signal. Extended Multiplicative Signal Correction (EMSC) is applied to correct the paraffin contribution of the Raman spectral image. For this purpose, the paraffin signal must be modeled as precisely as possible. In this paper, we propose to apply the matrix decomposition method such as Principal Component Analysis (PCA) to model the components of pure paraffin in the digital dewaxing technique. Then, the corrected spectra obtained using EMSC and PCA are classified using K-means, and compared with spectra obtained using classical EMSC result.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115384670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-07DOI: 10.1109/ICABME53305.2021.9604899
Agop Agop, Nour Dimashki, Ali Hage-Diab, Samih Abdul-Nabi, Ehssan Sharif-Askari
Parkinson’s disease (PD) is a progressive nervous system disorder that affects movement. Symptoms start gradually, where tremors are the most common, but the disorder also commonly causes stiffness or slowing of movement. Parkinson’s disease signs and symptoms can be different for everyone. Early signs may be mild and go unnoticed. Many of the symptoms are due to loss of neurons that produce a chemical messenger in the brain called dopamine. Early detection of the disease allows rapid intervention, which is important because in most cases it is not possible to recover from. It is only possible to slow down or better, to stop progression but not to reverse damage that has already incurred. Eye tremors are prevalent in PD illness and could be an initial warning for the neurodegenerative disorder. In the very early stages of the disease, these eye tremors are very small that make it impossible to be detected by naked eyes. We are proposing to use a new technology developed by MIT to generate motion magnification from recorded videos. The technology, called phase based video magnification, can be used for providing a convenient solution to detect ocular tremor. By capturing then analyzing and interpreting the results of recorded videos using smartphone’s camera, we can obtain a low-cost and widely available early diagnostic system. A prototype was developed and tested on healthy and diseased subjects with encouraging results.
{"title":"Feasibility of Developing an In-Home Parkinson’s Disease Early Diagnosing System","authors":"Agop Agop, Nour Dimashki, Ali Hage-Diab, Samih Abdul-Nabi, Ehssan Sharif-Askari","doi":"10.1109/ICABME53305.2021.9604899","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604899","url":null,"abstract":"Parkinson’s disease (PD) is a progressive nervous system disorder that affects movement. Symptoms start gradually, where tremors are the most common, but the disorder also commonly causes stiffness or slowing of movement. Parkinson’s disease signs and symptoms can be different for everyone. Early signs may be mild and go unnoticed. Many of the symptoms are due to loss of neurons that produce a chemical messenger in the brain called dopamine. Early detection of the disease allows rapid intervention, which is important because in most cases it is not possible to recover from. It is only possible to slow down or better, to stop progression but not to reverse damage that has already incurred. Eye tremors are prevalent in PD illness and could be an initial warning for the neurodegenerative disorder. In the very early stages of the disease, these eye tremors are very small that make it impossible to be detected by naked eyes. We are proposing to use a new technology developed by MIT to generate motion magnification from recorded videos. The technology, called phase based video magnification, can be used for providing a convenient solution to detect ocular tremor. By capturing then analyzing and interpreting the results of recorded videos using smartphone’s camera, we can obtain a low-cost and widely available early diagnostic system. A prototype was developed and tested on healthy and diseased subjects with encouraging results.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130226570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-07DOI: 10.1109/ICABME53305.2021.9604843
Christelle Francis, Jeanne Rita Youssef, Maria Elias, Victoria Saad, Roy Abi Zeid Daou
In recent years, medical imaging has made a huge progress in urology. Several diagnostic hypotheses are proposed after a clinical examination, and to select the right diagnosis, one calls upon the complementary examinations, and the imaging comes at first hand, playing a distinguished role. There are different imaging techniques that aid in the exploration of the urinary tract: KUB (Kidney, Ureter, Bladder) radiograph, ultrasound, IVU (IntraVenous Urography), Computed Tomography Urography (Uro-Scan) and Magnetic Resonance Urography (Uro-MRI). Due to the diversity of examinations that allow the diagnosis of different urinary pathologies, there is an importance and a responsibility to choose the most optimal radiological examination for diagnosis of the disease while ensuring the protection and the comfort of the patient during the examination. Thus, the aim of this work is to enquire about the technique used to detect the urological pathologies and to show the most adequate technique for each pathology. For that, a survey was conducted over radiologists, urologists as well as emergency physicians, in hospitals and medical centers, throughout the Lebanese territories. The results found can be summarized by the following points: (1) Uro-Scan is the technique that replaced the IVU, (2) there is a lack of knowledge, use and training on the Uro-MRI technique and (3) the optimal examination technique for almost all urological pathologies is the Uro-Scan.
{"title":"Survey of the Best Medical Imaging Techniques Applied to Detect Urological Pathologies: Case of Lebanese Health Sector","authors":"Christelle Francis, Jeanne Rita Youssef, Maria Elias, Victoria Saad, Roy Abi Zeid Daou","doi":"10.1109/ICABME53305.2021.9604843","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604843","url":null,"abstract":"In recent years, medical imaging has made a huge progress in urology. Several diagnostic hypotheses are proposed after a clinical examination, and to select the right diagnosis, one calls upon the complementary examinations, and the imaging comes at first hand, playing a distinguished role. There are different imaging techniques that aid in the exploration of the urinary tract: KUB (Kidney, Ureter, Bladder) radiograph, ultrasound, IVU (IntraVenous Urography), Computed Tomography Urography (Uro-Scan) and Magnetic Resonance Urography (Uro-MRI). Due to the diversity of examinations that allow the diagnosis of different urinary pathologies, there is an importance and a responsibility to choose the most optimal radiological examination for diagnosis of the disease while ensuring the protection and the comfort of the patient during the examination. Thus, the aim of this work is to enquire about the technique used to detect the urological pathologies and to show the most adequate technique for each pathology. For that, a survey was conducted over radiologists, urologists as well as emergency physicians, in hospitals and medical centers, throughout the Lebanese territories. The results found can be summarized by the following points: (1) Uro-Scan is the technique that replaced the IVU, (2) there is a lack of knowledge, use and training on the Uro-MRI technique and (3) the optimal examination technique for almost all urological pathologies is the Uro-Scan.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121238667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-07DOI: 10.1109/ICABME53305.2021.9604810
Huy-Khoi Do, D. Helbert, P. Bourdon, Mathieu Naudin, C. Guillevin, R. Guillevin
High-resolution magnetic resonance imaging (MRI) provides detailed anatomical information critical for clinical application diagnosis. However, current MRIs are acquired at clinical resolutions due to the limit of physical, technological, and economic considerations. On the other hand, existing approaches require paired MRI images as training data, which are difficult to obtain on existing datasets when the alignment between high and low-resolution images has to be implemented manually.Within the scope of project, we aim to provide an end-to-end system to solve the super-resolution method on 3D MRI. Our proposed method derives from recent neural network developments and does not require paired data for efficient training. By integrating different models with separated functions, our 3D super-resolution CycleGAN (SRCycleGAN) achieved compelling results on MRI volumes. The output is close with ground-truth, showing a low distortion on different scaling factors. Besides, we also compare our method against different GAN-based methods in this field to highlight the performance.
{"title":"MRI super-resolution using 3D cycle-consistent generative adversarial network","authors":"Huy-Khoi Do, D. Helbert, P. Bourdon, Mathieu Naudin, C. Guillevin, R. Guillevin","doi":"10.1109/ICABME53305.2021.9604810","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604810","url":null,"abstract":"High-resolution magnetic resonance imaging (MRI) provides detailed anatomical information critical for clinical application diagnosis. However, current MRIs are acquired at clinical resolutions due to the limit of physical, technological, and economic considerations. On the other hand, existing approaches require paired MRI images as training data, which are difficult to obtain on existing datasets when the alignment between high and low-resolution images has to be implemented manually.Within the scope of project, we aim to provide an end-to-end system to solve the super-resolution method on 3D MRI. Our proposed method derives from recent neural network developments and does not require paired data for efficient training. By integrating different models with separated functions, our 3D super-resolution CycleGAN (SRCycleGAN) achieved compelling results on MRI volumes. The output is close with ground-truth, showing a low distortion on different scaling factors. Besides, we also compare our method against different GAN-based methods in this field to highlight the performance.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131605809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-07DOI: 10.1109/ICABME53305.2021.9604831
M. Kaddour, Jinan Charafeddine, N. Moubayed
In this paper, a SIRD model is adapted to study the vaccine’s impact on the spread of coronavirus (COVID19) spread in Lebanon. To describe the epidemic development across the country, a Kalman filter is integrated with the SIRD model in order to estimate the time-varying reproduction number Rt - is the most important indicator that predicts the severity of an epidemic outbreak. Rt denotes the number of healthy persons to whom an infected person can spread the disease. The results show a reduction in the spread of the pandemic after employing the vaccine. All the data and relevant codebase are available at https://www.moph.gov.lb
{"title":"Tracking Rt of COVID-19 Vaccine Effectiveness Using Kalman Filter and SIRD Model","authors":"M. Kaddour, Jinan Charafeddine, N. Moubayed","doi":"10.1109/ICABME53305.2021.9604831","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604831","url":null,"abstract":"In this paper, a SIRD model is adapted to study the vaccine’s impact on the spread of coronavirus (COVID19) spread in Lebanon. To describe the epidemic development across the country, a Kalman filter is integrated with the SIRD model in order to estimate the time-varying reproduction number Rt - is the most important indicator that predicts the severity of an epidemic outbreak. Rt denotes the number of healthy persons to whom an infected person can spread the disease. The results show a reduction in the spread of the pandemic after employing the vaccine. All the data and relevant codebase are available at https://www.moph.gov.lb","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124968904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-07DOI: 10.1109/ICABME53305.2021.9604817
J. Verwaerde, J. Laforêt, A. Rassineux, C. Marque
This paper presents the sensitivity analysis (SA) of a model developed to simulate the uterine electrical activity recorded on the woman’s abdomen (the electrohysterogram, EHG). This model contains different sub-models that permit to simulate the electro-chemical behavior of the uterine muscle during a contraction (EHG), the abdominal conducting volume as well as a personalized geometry of the uterus. We based our sensitivity analysis on the Morris elementary effects method, a well-known screening method suited for large dimension and complex models. We adapted the classical Morris sensitivity measures to deal with the non-uniform distribution of the elementary effects. The SA tested the effect of the 32 parameters of the model on 5 classical features computed from the simulated EHG. The results indicate a nonlinear influence of the parameters on the EHG features. They permit to evidence the most important parameters as well of the negligible ones for the further use of the uterine model.
{"title":"Sensitivity analysis of a realistic electrical model of the Uterine activity","authors":"J. Verwaerde, J. Laforêt, A. Rassineux, C. Marque","doi":"10.1109/ICABME53305.2021.9604817","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604817","url":null,"abstract":"This paper presents the sensitivity analysis (SA) of a model developed to simulate the uterine electrical activity recorded on the woman’s abdomen (the electrohysterogram, EHG). This model contains different sub-models that permit to simulate the electro-chemical behavior of the uterine muscle during a contraction (EHG), the abdominal conducting volume as well as a personalized geometry of the uterus. We based our sensitivity analysis on the Morris elementary effects method, a well-known screening method suited for large dimension and complex models. We adapted the classical Morris sensitivity measures to deal with the non-uniform distribution of the elementary effects. The SA tested the effect of the 32 parameters of the model on 5 classical features computed from the simulated EHG. The results indicate a nonlinear influence of the parameters on the EHG features. They permit to evidence the most important parameters as well of the negligible ones for the further use of the uterine model.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134634447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-07DOI: 10.1109/ICABME53305.2021.9604873
P. Vanathi, D. Vidhya, W. Mansoor, Akash Singh, Balbir Singh
MECOM (MDS1 and EVI1 complex locus protein EVI1), an oncogenic transcription factor, is involved in several kinds of cancers including gliobastoma multiforme. In the present study, we aimed to investigate the chemical properties of chlorophyll catabolite of Capsicum annuum (also known as Ca-FCC-2) and atomic interactions with MECOM protein. To perform the assessment of ADMET profile, SWISS-ADME webtool was exploited and molecular docking study was performed using Autodock Vina. The results showed that ca-FCC-2 potentially binds (ΔG = 7.0 kcal/mol) to the target protein with limited violation of the ADMET properties. Therefore, the ligand could be a plausible drug candidate to target MECOM, however, further experimental validations need to be performed.
MECOM (MDS1 and EVI1 complex locus protein EVI1)是一种致癌转录因子，参与多种癌症的发生，包括多形性胶质母细胞瘤。本研究旨在研究辣椒叶绿素分解产物Ca-FCC-2的化学性质及其与MECOM蛋白的原子相互作用。为了进行ADMET谱的评估，利用SWISS-ADME网络工具，并使用Autodock Vina进行分子对接研究。结果表明，ca-FCC-2可能与靶蛋白结合(ΔG = 7.0 kcal/mol)，对ADMET性质的破坏有限。因此，该配体可能是一种可行的靶向MECOM的候选药物，然而，还需要进一步的实验验证。
{"title":"Investigation of anticancer phytomolecule, chlorophyll catabolite of Capsicum annuum, targeting MECOM protein: molecular docking insight","authors":"P. Vanathi, D. Vidhya, W. Mansoor, Akash Singh, Balbir Singh","doi":"10.1109/ICABME53305.2021.9604873","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604873","url":null,"abstract":"MECOM (MDS1 and EVI1 complex locus protein EVI1), an oncogenic transcription factor, is involved in several kinds of cancers including gliobastoma multiforme. In the present study, we aimed to investigate the chemical properties of chlorophyll catabolite of Capsicum annuum (also known as Ca-FCC-2) and atomic interactions with MECOM protein. To perform the assessment of ADMET profile, SWISS-ADME webtool was exploited and molecular docking study was performed using Autodock Vina. The results showed that ca-FCC-2 potentially binds (ΔG = 7.0 kcal/mol) to the target protein with limited violation of the ADMET properties. Therefore, the ligand could be a plausible drug candidate to target MECOM, however, further experimental validations need to be performed.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132737882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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