Citations (54)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (4)
Amitha Joy, Febin Seethi V.Marria C. Cyriac, Jasmin Habeeb, Sunisha Sudhakaran & Shaheen Shah. (2023) Modelling of AgrA inhibitors to combat anti-microbial resistance in Staphylococcus aureus. Journal of Biomolecular Structure and Dynamics 0:0, pages 1-8.
Read now
Read now
Y. Ji, R. Li, Y. Tian, G. Chen & A. Yan. (2022) Classification models and SAR analysis on thromboxane A2 synthase inhibitors by machine learning methods. SAR and QSAR in Environmental Research 33:6, pages 429-462.
Read now
Read now
Mateus Sá Magalhães Serafim, Valtair Severino dos Santos Júnior, Jadson Castro Gertrudes, Vinícius Gonçalves Maltarollo & Kathia Maria Honorio. (2021) Machine learning techniques applied to the drug design and discovery of new antivirals: a brief look over the past decade. Expert Opinion on Drug Discovery 16:9, pages 961-975.
Read now
Read now
Mateus Sá Magalhães Serafim, Thales Kronenberger, Patrícia Rufino Oliveira, Antti Poso, Káthia Maria Honório, Bruno Eduardo Fernandes Mota & Vinícius Gonçalves Maltarollo. (2020) The application of machine learning techniques to innovative antibacterial discovery and development. Expert Opinion on Drug Discovery 15:10, pages 1165-1180.
Read now
Read now
Articles from other publishers (50)
José Teófilo Moreira-Filho, Meryck Felipe Brito da Silva, Joyce Villa Verde Bastos Borba, Arlindo Rodrigues Galvão Filho, Eugene N Muratov, Carolina Horta Andrade, Rodolpho de Campos Braga & Bruno Junior Neves. (2023) Artificial intelligence systems for the design of magic shotgun drugs. Artificial Intelligence in the Life Sciences 3, pages 100055.
Crossref
Crossref
Xiaoman Zhao, Yue Kong, Yueshan Ji, Xiulan Xin, Liang Chen, Guang Chen & Changyuan Yu. (2023) Classification models for predicting the bioactivity of pan-TRK inhibitors and SAR analysis. Molecular Diversity.
Crossref
Crossref
Y. A. Liu & Niket Sharma. 2023. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing
533
650
.
Luciana Azevedo, Daniel Granato, Vinícius G Maltarollo & José E Gonçalves. (2023) A mosaic-structured framework applied in the healthy food design: insights from integrated in silico and in vitro approaches. Current Opinion in Food Science 52, pages 101047.
Crossref
Crossref
Yuting Wang, Jiaxi Wang, Zhanfeng Yan, Siming Liu & Wenlong Xu. (2023) Microenvironment modulation by key regulators of RNA N6-methyladenosine modification in respiratory allergic diseases. BMC Pulmonary Medicine 23:1.
Crossref
Crossref
Jie Zhuang, Adam C. Midgley, Yonghua Wei, Qiqi Liu, Deling Kong & Xinglu Huang. (2023) Machine‐Learning‐Assisted Nanozyme Design: Lessons from Materials and Engineered Enzymes. Advanced Materials.
Crossref
Crossref
Greta Bagnolini, TinTin B. Luu & Amanda E. Hargrove. (2023) Recognizing the power of machine learning and other computational methods to accelerate progress in small molecule targeting of RNA. RNA 29:4, pages 473-488.
Crossref
Crossref
Tong Qin, Xuefeng Gao, Lei Lei, Jing Feng, Wenxuan Zhang, Yuhua Hu, Zhufang Shen, Zhenming Liu, Yi Huan, Song Wu, Jie Xia & Liangren Zhang. (2023) Machine learning- and structure-based discovery of a novel chemotype as FXR agonists for potential treatment of nonalcoholic fatty liver disease. European Journal of Medicinal Chemistry 252, pages 115307.
Crossref
Crossref
Wei Chen, Xuesong Liu, Sanyin Zhang & Shilin Chen. (2023) Artificial intelligence for drug discovery: Resources, methods, and applications. Molecular Therapy - Nucleic Acids 31, pages 691-702.
Crossref
Crossref
Xin-Xin Yu, Meng-Qi Liu, Xiao-Yan Li, Ying-Hua Zhang & Bing-Jie Tao. (2023) Qualitative and quantitative prediction of food allergen epitopes based on machine learning combined with in vitro experimental validation. Food Chemistry 405, pages 134796.
Crossref
Crossref
Essam H. Houssein, Mosa E. Hosney, Waleed M. Mohamed, Abdelmgeid A. Ali & Eman M. G. Younis. (2022) Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data. Neural Computing and Applications 35:7, pages 5251-5275.
Crossref
Crossref
Xueqin Jiang, Yueshan Sun, Shuo Yang, Yuesong Wu, Long Wang, Wenjun Zou, Nan Jiang, Jianping Chen, Yunwei Han, Chunlan Huang, Anguo Wu, Chunxiang Zhang & Jianming Wu. (2023) Novel chemical-structure TPOR agonist, TMEA, promotes megakaryocytes differentiation and thrombopoiesis via mTOR and ERK signalings. Phytomedicine 110, pages 154637.
Crossref
Crossref
Panchan Dansawad, Yanxiang Li, Yize Li, Jingjie Zhang, Siming You, Wangliang Li & Shouliang Yi. (2023) Machine learning toward improving the performance of membrane-based wastewater treatment: A review. Advanced Membranes 3, pages 100072.
Crossref
Crossref
Michael E. Matheny, Lucila Ohno-Machado, Sharon E. Davis & Shamim Nemati. 2023. Clinical Decision Support and Beyond. Clinical Decision Support and Beyond
217
255
.
Abdelkader A. Metwally, Amira A. Nayel & Rania M. Hathout. (2022) In silico prediction of siRNA ionizable-lipid nanoparticles In vivo efficacy: Machine learning modeling based on formulation and molecular descriptors. Frontiers in Molecular Biosciences 9.
Crossref
Crossref
Rubi Solanki, Farhan Jalees Ahmad, Bhavya Alankar & Harleen Kaur. (2022) Supervised Learning in Diagnosis, Prognosis, and Identification of Subtypes of Cancer. Supervised Learning in Diagnosis, Prognosis, and Identification of Subtypes of Cancer.
Jiarui Li & Li Zhang. (2022) Comparison and optimization of rapid and nondestructive qualitative analysis models based on fourier transform infrared spectroscopy information of drugs. Vibrational Spectroscopy 123, pages 103445.
Crossref
Crossref
Ali Abdelkrim, Abdelkrim Bouramoul & Imene Zenbout. (2022) A Systematic Literature Review of the Current Status and Future Prospects of Machine Learning Methods and Techniques Applied to Novel Drug Discovery. International Journal of Organizational and Collective Intelligence 12:4, pages 1-25.
Crossref
Crossref
Shamanth A. Shankarnarayan, Joshua D. Guthrie & Daniel A. Charlebois. 2022. The Global Antimicrobial Resistance Epidemic - Innovative Approaches and Cutting-Edge Solutions. The Global Antimicrobial Resistance Epidemic - Innovative Approaches and Cutting-Edge Solutions.
A. Jiran Meitei, Padmasai Arora, B. B. Mohapatra & Hitesh Arora. (2022) Identification of Weak Banks Using Machine Learning Techniques: Evidence from the Indian Banking Sector. Global Business Review, pages 097215092211136.
Crossref
Crossref
Purvashi Pasrija, Prakash Jha, Pruthvi Upadhyaya, Mohd. Shoaib Khan & Madhu Chopra. (2022) Machine Learning and Artificial Intelligence: A Paradigm Shift in Big
Data-Driven Drug Design and Discovery. Current Topics in Medicinal Chemistry 22:20, pages 1692-1727.
Crossref
Crossref
Odame Agyapong, Whelton A. Miller, Michael D. Wilson & Samuel K. Kwofie. (2021) Development of a proteochemometric-based support vector machine model for predicting bioactive molecules of tubulin receptors. Molecular Diversity 26:4, pages 2231-2242.
Crossref
Crossref
Punugoti Dhanush & N. Nalini. (2022) Drug Review System Using Machine Learning by Comparing Linear Support Vector Machine with Naïve Bayes Classifier to Measure Accuracy. Drug Review System Using Machine Learning by Comparing Linear Support Vector Machine with Naïve Bayes Classifier to Measure Accuracy.
Chinmayee Choudhury, N. Arul Murugan & U. Deva Priyakumar. (2022) Structure-based drug repurposing: Traditional and advanced AI/ML-aided methods. Drug Discovery Today 27:7, pages 1847-1861.
Crossref
Crossref
Chandrabose Selvaraj, Ishwar Chandra & Sanjeev Kumar Singh. (2021) Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries. Molecular Diversity 26:3, pages 1893-1913.
Crossref
Crossref
Marko Jukič & Urban Bren. (2022) Machine Learning in Antibacterial Drug Design. Frontiers in Pharmacology 13.
Crossref
Crossref
Sameer Quazi, Rohit Jangi, Shreelaxmi Gavas & Tomasz M. Karpinski. 2022. Advancements in Controlled Drug Delivery Systems. Advancements in Controlled Drug Delivery Systems
27
43
.
Suresh Dara, Swetha Dhamercherla, Surender Singh Jadav, CH Madhu Babu & Mohamed Jawed Ahsan. (2021) Machine Learning in Drug Discovery: A Review. Artificial Intelligence Review 55:3, pages 1947-1999.
Crossref
Crossref
Luiz Anastacio Alves, Natiele Carla da Silva Ferreira, Victor Maricato, Anael Viana Pinto Alberto, Evellyn Araujo Dias & Nt Jose Aguiar Coelho. (2022) Graph Neural Networks as a Potential Tool in Improving Virtual Screening Programs. Frontiers in Chemistry 9.
Crossref
Crossref
Xinyue Li, Yaqi Yao, Meiling Chen, Haoran Ding, Chenrui Liang, Ling Lv, Huan Zhao, Guanru Zhou, Zhanglong Luo, Yubo Li & Han Zhang. (2022) Comprehensive evaluation integrating omics strategy and machine learning algorithms for consistency of calculus bovis from different sources. Talanta 237, pages 122873.
Crossref
Crossref
Uma Maheshwera Reddy Paturi, Suryapavan Cheruku, Venkat Phani Kumar Pasunuri, Sriteja Salike, N.S. Reddy & Srija Cheruku. (2021) Machine learning and statistical approach in modeling and optimization of surface roughness in wire electrical discharge machining. Machine Learning with Applications 6, pages 100099.
Crossref
Crossref
Dimitrios Vlachakis & Panayiotis Vlamos. (2021) Mathematical Multidimensional Modelling and Structural Artificial Intelligence Pipelines Provide Insights for the Designing of Highly Specific AntiSARS-CoV2 Agents. Mathematics in Computer Science 15:4, pages 877-888.
Crossref
Crossref
Zhuang Jiang, Botao Fa, Xunmiao Zhang, Jiping Wang, Yanmei Feng, Haibo Shi, Yue Zhang, Daoyuan Sun, Hui Wang & Shankai Yin. (2021) Identifying genetic risk variants associated with noise-induced hearing loss based on a novel strategy for evaluating individual susceptibility. Hearing Research 407, pages 108281.
Crossref
Crossref
Kushagra Kashyap & Mohammad Imran Siddiqi. (2021) Recent trends in artificial intelligence-driven identification and development of anti-neurodegenerative therapeutic agents. Molecular Diversity 25:3, pages 1517-1539.
Crossref
Crossref
Lucas B. Ayres, Federico J.V. Gomez, Jeb R. Linton, Maria F. Silva & Carlos D. Garcia. (2021) Taking the leap between analytical chemistry and artificial intelligence: A tutorial review. Analytica Chimica Acta 1161, pages 338403.
Crossref
Crossref
Mateus S.M. Serafim, Jadson C. Gertrudes, Débora M.A. Costa, Patricia R. Oliveira, Vinicius G. Maltarollo & Kathia M. Honorio. (2021) Knowing and combating the enemy: a brief review on SARS-CoV-2 and computational approaches applied to the discovery of drug candidates. Bioscience Reports 41:3.
Crossref
Crossref
Muhammad SarfrazAbdul RaufPaul KellerAshfaq Mahmood Qureshi. (2021)
N
,
N
′-dialkyl-2-thiobarbituric acid based sulfonamides as potential SARS-CoV-2 main protease inhibitors
. Canadian Journal of Chemistry 99:3, pages 330-345.
Crossref
Crossref
Rhea Conchita Gonsalves, Himavani Pacharla, Sai Manohar, Siva Kumar Belliraj, Ekta Tripathi, Prashanthi Karyala & Suresh B. Pakala. 2021. Pandemic Outbreaks in the 21st Century. Pandemic Outbreaks in the 21st Century
185
210
.
Prasad V. Bharatam. 2021. Drug Discovery and Development. Drug Discovery and Development
137
210
.
Ning Liu, Guo Zhao & Gang Liu. (2020) Coupling Square Wave Anodic Stripping Voltammetry with Support Vector Regression to Detect the Concentration of Lead in Soil under the Interference of Copper Accurately. Sensors 20:23, pages 6792.
Crossref
Crossref
Lauv Patel, Tripti Shukla, Xiuzhen Huang, David W. Ussery & Shanzhi Wang. (2020) Machine Learning Methods in Drug Discovery. Molecules 25:22, pages 5277.
Crossref
Crossref
Nafiseh Vahedi, Majid Mohammadhosseini & Mehdi Nekoei. (2020) QSAR Study of PARP Inhibitors by GA-MLR, GA-SVM and GA-ANN Approaches. Current Analytical Chemistry 16:8, pages 1088-1105.
Crossref
Crossref
Anael Viana Pinto Alberto, Natiele Carla da Silva Ferreira, Rafael Ferreira Soares & Luiz Anastacio Alves. (2020) Molecular Modeling Applied to the Discovery of New Lead Compounds for P2 Receptors Based on Natural Sources. Frontiers in Pharmacology 11.
Crossref
Crossref
Matthew G. Roberts & Rae Lawrence. 2020. Machine Learning in Chemistry. Machine Learning in Chemistry
37
75
.
Dragos Paul Mihai, Cosmin Trif, Gheorghe Stancov, Denise Radulescu & George Mihai Nitulescu. (2020) Artificial Intelligence Algorithms for Discovering New Active Compounds Targeting TRPA1 Pain Receptors. AI 1:2, pages 276-285.
Crossref
Crossref
Roya Arian, Amirali Hariri, Alireza Mehridehnavi, Afshin Fassihi & Fahimeh Ghasemi. (2020) Protein kinase inhibitors’ classification using K-Nearest neighbor algorithm. Computational Biology and Chemistry 86, pages 107269.
Crossref
Crossref
Anael V.P. Alberto, Lucianna H.S. Santos, Rafael Ferreira, Dinarte N.M. Ferreira & Luiz A. Alves. 2020. Receptors P1 and P2 as Targets for Drug Therapy in Humans. Receptors P1 and P2 as Targets for Drug Therapy in Humans.
Arne Krüger, Vinicius Gonçalves Maltarollo, Carsten Wrenger & Thales Kronenberger. 2020. Drug Discovery and Development - New Advances. Drug Discovery and Development - New Advances.
Salman Akhtar, M. Kalim A. Khan & Khwaja Osama. 2020. Computer-Aided Drug Design. Computer-Aided Drug Design
279
306
.
Qing Ai, Anna Wang, Aihua Zhang, Wenhui Wang & Yang Wang. (2019) An Effective Multiclass Twin Hypersphere Support Vector Machine and Its Practical Engineering Applications. Electronics 8:10, pages 1195.
Crossref
Crossref