日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Molecular Property Diagnostic Suite for COVID-19 (MPDS(COVID-19)): an open-source disease-specific drug discovery portal

新冠病毒分子特性诊断套件 (MPDS(COVID-19)):一个开源的疾病特异性药物发现门户

Priyadarsinee, Lipsa; Jamir, Esther; Nagamani, Selvaraman; Mahanta, Hridoy Jyoti; Kumar, Nandan; John, Lijo; Sarma, Himakshi; Kumar, Asheesh; Gaur, Anamika Singh; Sahoo, Rosaleen; Vaikundamani, S; Murugan, N Arul; Priyakumar, U Deva; Raghava, G P S; Bharatam, Prasad V; Parthasarathi, Ramakrishnan; Subramanian, V; Sastry, G Madhavi; Sastry, G Narahari

Latent Biases in Machine Learning Models for Predicting Binding Affinities Using Popular Data Sets

利用常用数据集预测结合亲和力的机器学习模型中的潜在偏差

Kanakala, Ganesh Chandan; Aggarwal, Rishal; Nayar, Divya; Priyakumar, U Deva

Streamlining pipeline efficiency: a novel model-agnostic technique for accelerating conditional generative and virtual screening pipelines

提高流程效率:一种用于加速条件生成和虚拟筛选流程的新型模型无关技术

Viswanathan, Karthik; Goel, Manan; Laghuvarapu, Siddhartha; Varma, Girish; Priyakumar, U Deva

Carbodicarbenes and Striking Redox Transitions of their Conjugate Acids: Influence of NHC versus CAAC as Donor Substituents

碳二卡宾及其共轭酸的显著氧化还原转变:NHC 与 CAAC 作为供体取代基的影响

Dolai, Ramapada; Kumar, Rahul; Elvers, Benedict J; Pal, Pradeep Kumar; Joseph, Benson; Sikari, Rina; Nayak, Mithilesh Kumar; Maiti, Avijit; Singh, Tejender; Chrysochos, Nicolas; Jayaraman, Arumugam; Krummenacher, Ivo; Mondal, Jagannath; Priyakumar, U Deva; Braunschweig, Holger; Yildiz, Cem B; Schulzke, Carola; Jana, Anukul

PREHOST: Host prediction of coronaviridae family using machine learning

预热:利用机器学习预测冠状病毒科的宿主

Chaturvedi, Anusha; Borkar, Kushal; Priyakumar, U Deva; Vinod, P K

Structure-based drug repurposing: Traditional and advanced AI/ML-aided methods

基于结构的药物重定位:传统方法和先进的AI/ML辅助方法

Choudhury, Chinmayee; Arul Murugan, N; Priyakumar, U Deva

COVID-19 Risk Stratification and Mortality Prediction in Hospitalized Indian Patients: Harnessing clinical data for public health benefits

印度住院患者的 COVID-19 风险分层和死亡率预测:利用临床数据造福公共卫生

Alle, Shanmukh; Kanakan, Akshay; Siddiqui, Samreen; Garg, Akshit; Karthikeyan, Akshaya; Mehta, Priyanka; Mishra, Neha; Chattopadhyay, Partha; Devi, Priti; Waghdhare, Swati; Tyagi, Akansha; Tarai, Bansidhar; Hazarik, Pranjal Pratim; Das, Poonam; Budhiraja, Sandeep; Nangia, Vivek; Dewan, Arun; Sethuraman, Ramanathan; Subramanian, C; Srivastava, Mashrin; Chakravarthi, Avinash; Jacob, Johnny; Namagiri, Madhuri; Konala, Varma; Dash, Debasish; Sethi, Tavpritesh; Jha, Sujeet; Agrawal, Anurag; Pandey, Rajesh; Vinod, P K; Priyakumar, U Deva

Artificial intelligence: machine learning for chemical sciences

人工智能:机器学习在化学科学领域的应用

Karthikeyan, Akshaya; Priyakumar, U Deva

Host metabolic reprogramming in response to SARS-CoV-2 infection: A systems biology approach

宿主代谢重编程响应SARS-CoV-2感染:系统生物学方法

Moolamalla, S T R; Balasubramanian, Rami; Chauhan, Ruchi; Priyakumar, U Deva; Vinod, P K

Enantioseparation and chiral induction in Ag(29) nanoclusters with intrinsic chirality

具有固有手性的Ag(29)纳米团簇中的对映体分离和手性诱导

Yoshida, Hiroto; Ehara, Masahiro; Priyakumar, U Deva; Kawai, Tsuyoshi; Nakashima, Takuya