Manali Singha

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Citations	107	104
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Michal BrylinskiLouisiana State UniversityVerified email at brylinski.org
J. "Ram" RamanujamLouisiana State University: Professor, ECE Div; Director CCT-Center for Comp. & Tech.Verified email at lsu.edu
Limeng PuSt. Jude Children's Research HospitalVerified email at stjude.org
Wentao ShiLouisiana State UniversityVerified email at lsu.edu
Hsiao-Chun WuLouisiana State UniversityVerified email at ece.lsu.edu
Jeffrey Mitchell LemoineLouisiana State UniversityVerified email at lsu.edu
Gopal Narayan SrivastavaLouisiana State UniversityVerified email at lsu.edu
Abd-El-Monsif A. ShawkyPhD candidate, department of biological sciences, LSUVerified email at lsu.edu
Rajiv Gandhi GovindarajAtavistik BioVerified email at atavistikbio.com
Misagh NaderiPhD, Computational Biochemistry, Louisiana State UniversityVerified email at lsu.edu
KONSTANTIN "Gus" KOUSOULASProfessor of Virology and Biotechnology, Louisiana State UniversityVerified email at lsu.edu
Brent StanfieldLouisiana State University School of Veterinary MedicineVerified email at lsu.edu
Prasanga NeupaneLouisiana State UniversityVerified email at lsu.edu
Guannan LiuAssistant Professor of Applied Data Science, San José State UniversityVerified email at sjsu.edu
Costas BuschProfessor, School of Computer and Cyber Sciences, Augusta UniversityVerified email at augusta.edu

Manali Singha

Nationwide Children's Hospital

Verified email at nationwidechildrens.org - Homepage

Computational System Biology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Large-scale computational drug repositioning to find treatments for rare diseases RG Govindaraj, M Naderi, M Singha, J Lemoine, M Brylinski NPJ systems biology and applications 4 (1), 13, 2018	32	2018
GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data G Liu, M Singha, L Pu, P Neupane, J Feinstein, HC Wu, J Ramanujam, ... Journal of cheminformatics 13, 1-17, 2021	14	2021
CancerOmicsNet: a multi-omics network-based approach to anti-cancer drug profiling L Pu, M Singha, J Ramanujam, M Brylinski Oncotarget 13, 695, 2022	13	2022
Pocket2Drug: an encoder-decoder deep neural network for the target-based drug design W Shi, M Singha, G Srivastava, L Pu, J Ramanujam, M Brylinski Frontiers in pharmacology 13, 837715, 2022	11	2022
BionoiNet: ligand-binding site classification with off-the-shelf deep neural network W Shi, JM Lemoine, AEMA Shawky, M Singha, L Pu, S Yang, ... Bioinformatics 36 (10), 3077-3083, 2020	11	2020
An integrated network representation of multiple cancer-specific data for graph-based machine learning L Pu, M Singha, HC Wu, C Busch, J Ramanujam, M Brylinski NPJ systems biology and applications 8 (1), 14, 2022	6	2022
GraphGR: A graph neural network to predict the effect of pharmacotherapy on the cancer cell growth M Singha, L Pu, AEM Shawky, K Busch, HC Wu, J Ramanujam, ... bioRxiv, 2020.05. 20.107458, 2020	6	2020
Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors M Singha, L Pu, BA Stanfield, IK Uche, PJF Rider, KG Kousoulas, ... BMC cancer 22 (1), 1211, 2022	5	2022
Graphsite: ligand binding site classification with deep graph learning W Shi, M Singha, L Pu, G Srivastava, J Ramanujam, M Brylinski Biomolecules 12 (8), 1053, 2022	4	2022
Unlocking the potential of kinase targets in cancer: insights from CancerOmicsNet, an AI-driven approach to drug response prediction in cancer M Singha, L Pu, G Srivastava, X Ni, BA Stanfield, IK Uche, PJF Rider, ... Cancers 15 (16), 4050, 2023	3	2023
Graphsite: ligand-binding site classification using deep graph neural network W Shi, M Singha, L Pu, J Ramanujam, M Brylinski bioRxiv, 2021.12. 06.471420, 2021	2	2021
Graph-Based Computational Approach to The Study Of Cancer Pharmacotherapy M Singha		2022

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