Works by RAMANUJAM, J.

Results: 19

BionoiNet: ligand-binding site classification with off-the-shelf deep neural network.

Published in:

Bioinformatics, 2020, v. 36, n. 10, p. 3077, doi. 10.1093/bioinformatics/btaa094

By:

Shi, Wentao;
Lemoine, Jeffrey M;
Shawky, Abd-El-Monsif A;
Singha, Manali;
Pu, Limeng;
Yang, Shuangyan;
Ramanujam, J;
Brylinski, Michal

Publication type:

Article

Deep video representation learning: a survey.

Published in:

Multimedia Tools & Applications, 2024, v. 83, n. 20, p. 59195, doi. 10.1007/s11042-023-17815-3

By:

Ravanbakhsh, Elham;
Liang, Yongqing;
Ramanujam, J.;
Li, Xin

Publication type:

Article

A Novel Approach to Intrude Secondary Metabolites of Pseudomonas fluorescens as a Biocontrol Substance Against Alternaria alternata.

Published in:

IUP Journal of Biotechnology, 2011, v. 5, n. 4, p. 20

By:

Ramanujam, J. Renga;
Kulothungan, S.

Publication type:

Article

Effects of reclaimed asphalt materials on geotechnical characteristics of recycled concrete aggregates as a pavement material.

Published in:

Road Materials & Pavement Design, 2019, v. 20, n. 4, p. 754, doi. 10.1080/14680629.2017.1417151

By:

Jayakody, S.;
Gallage, C.;
Ramanujam, J.

Publication type:

Article

Insights from Augmented Data Integration and Strong Regularization in Drug Synergy Prediction with SynerGNet.

Published in:

Machine Learning & Knowledge Extraction, 2024, v. 6, n. 3, p. 1782, doi. 10.3390/make6030087

By:

Liu, Mengmeng;
Srivastava, Gopal;
Ramanujam, J.;
Brylinski, Michal

Publication type:

Article

Characterization of foamed-bitumen stabilisation.

Published in:

International Journal of Pavement Engineering, 2007, v. 8, n. 2, p. 111, doi. 10.1080/10298430601149676

By:

Ramanujam, J. M.;
Jones, J. D.

Publication type:

Article

Efficient search-space pruning for integrated fusion and tiling transformations.

Published in:

Concurrency & Computation: Practice & Experience, 2007, v. 19, n. 18, p. 2425, doi. 10.1002/cpe.1182

By:

Gao, Xiaoyang;
Krishnamoorthy, Sriram;
Sahoo, Swarup Kumar;
Lam, Chi-Chung;
Baumgartner, Gerald;
Ramanujam, J.;
Sadayappan, P.

Publication type:

Article

SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy.

Published in:

Biomolecules (2218-273X), 2024, v. 14, n. 3, p. 253, doi. 10.3390/biom14030253

By:

Liu, Mengmeng;
Srivastava, Gopal;
Ramanujam, J.;
Brylinski, Michal

Publication type:

Article

Automatic code generation for many-body electronic structure methods: the tensor contraction engine‡‡.

Published in:

Molecular Physics, 2006, v. 104, n. 2, p. 211, doi. 10.1080/00268970500275780

By:

Auer, Alexander A.;
Baumgartner, Gerald;
Bernholdt, David E.;
Bibireata, Alina;
Choppella, Venkatesh;
Cociorva, Daniel;
Xiaoyang Gao;
Harrison, Robert;
Krishnamoorthy, Sriram;
Krishnan, Sandhya;
Chi-Chung Lam;
Qingda Lu;
Nooijen, Marcel;
Pitzer, Russell;
Ramanujam, J.;
Sadayappan, P.;
Sibiryakov, Alexander

Publication type:

Article

Communication Generation for Block-Cyclic Distributions.

Published in:

Parallel Processing Letters, 1997, v. 7, n. 2, p. 195, doi. 10.1142/S0129626497000206

By:

Venkatachar, A.;
Ramanujam, J.;
Thirumalai, A.

Publication type:

Article

GeauxDock: Accelerating Structure-Based Virtual Screening with Heterogeneous Computing.

Published in:

PLoS ONE, 2016, v. 11, n. 7, p. 1, doi. 10.1371/journal.pone.0158898

By:

Fang, Ye;
Ding, Yun;
Feinstein, Wei P.;
Koppelman, David M.;
Moreno, Juana;
Jarrell, Mark;
Ramanujam, J.;
Brylinski, Michal

Publication type:

Article

Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in Cancer.

Published in:

Cancers, 2023, v. 15, n. 16, p. 4050, doi. 10.3390/cancers15164050

By:

Singha, Manali;
Pu, Limeng;
Srivastava, Gopal;
Ni, Xialong;
Stanfield, Brent A.;
Uche, Ifeanyi K.;
Rider, Paul J. F.;
Kousoulas, Konstantin G.;
Ramanujam, J.;
Brylinski, Michal

Publication type:

Article

Adaptive parallel tiled code generation and accelerated auto-tuning.

Published in:

International Journal of High Performance Computing Applications, 2013, v. 27, n. 4, p. 412, doi. 10.1177/1094342013493939

By:

Tavarageri, Sanket;
Ramanujam, J;
Sadayappan, P

Publication type:

Article

Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors.

Published in:

2022

By:

Singha, Manali;
Pu, Limeng;
Stanfield, Brent A.;
Uche, Ifeanyi K.;
Rider, Paul J. F.;
Kousoulas, Konstantin G.;
Ramanujam, J.;
Brylinski, Michal

Publication type:

journal article

Pocket2Drug: An Encoder-Decoder Deep Neural Network for the Target-Based Drug Design.

Published in:

Frontiers in Pharmacology, 2022, v. 13, p. 1, doi. 10.3389/fphar.2022.837715

By:

Shi, Wentao;
Singha, Manali;
Srivastava, Gopal;
Pu, Limeng;
Ramanujam, J.;
Brylinski, Michal

Publication type:

Article

GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data.

Published in:

Journal of Cheminformatics, 2021, v. 13, n. 1, p. 1, doi. 10.1186/s13321-021-00540-0

By:

Liu, Guannan;
Singha, Manali;
Pu, Limeng;
Neupane, Prasanga;
Feinstein, Joseph;
Wu, Hsiao-Chun;
Ramanujam, J.;
Brylinski, Michal

Publication type:

Article

An integrated network representation of multiple cancer-specific data for graph-based machine learning.

Published in:

NPJ Systems Biology & Applications, 2022, v. 8, n. 1, p. 1, doi. 10.1038/s41540-022-00226-9

By:

Pu, Limeng;
Singha, Manali;
Wu, Hsiao-Chun;
Busch, Costas;
Ramanujam, J.;
Brylinski, Michal

Publication type:

Article

CODE SIZE REDUCTION FOR ARRAY INTENSIVE APPLICATIONS ON DIGITAL SIGNAL PROCESSORS.

Published in:

Journal of Circuits, Systems & Computers, 2012, v. 21, n. 3, p. 1250015-1, doi. 10.1142/S0218126612500156

By:

SALAMY, HASSAN;
RAMANUJAM, J.

Publication type:

Article

Augmented drug combination dataset to improve the performance of machine learning models predicting synergistic anticancer effects.

Published in:

Scientific Reports, 2024, v. 13, n. 1, p. 1, doi. 10.1038/s41598-024-51940-9

By:

Liu, Mengmeng;
Srivastava, Gopal;
Ramanujam, J.;
Brylinski, Michal

Publication type:

Article