Rohan Gorantla

According to our database, Rohan Gorantla authored at least 7 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Learning Binding Affinities via Fine-Tuning of Protein and Ligand Language Models.

Rohan Gorantla, Aryo Pradipta Gema, Ian Xi Yang, Álvaro Serrano-Morrás, Benjamin Suutari, Jordi Juárez Jiménez, Antonia S. J. S. Mey

J. Chem. Inf. Model., 2025

2024

From Proteins to Ligands: Decoding Deep Learning Methods for Binding Affinity Prediction.

Rohan Gorantla, Alzbeta Kubincová, Andrea Y. Weiße, Antonia S. J. S. Mey

J. Chem. Inf. Model., 2024

Benchmarking Active Learning Protocols for Ligand-Binding Affinity Prediction.

Rohan Gorantla, Alzbeta Kubincová, Benjamin Suutari, Benjamin P. Cossins, Antonia S. J. S. Mey

J. Chem. Inf. Model., 2024

Dirac–Bianconi Graph Neural Networks – Enabling Non-Diffusive Long-Range Graph Predictions.

Christian Nauck, Rohan Gorantla, Michael Lindner, Konstantin Schürholt, Antonia S. J. S. Mey, Frank Hellmann

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

2021

SHEG: summarization and headline generation of news articles using deep learning.

Rajeev Kumar Singh, Sonia Khetarpaul, Rohan Gorantla, Sai Giridhar Allada

Neural Comput. Appl., 2021

2020

SkiNet: A Deep Learning Solution for Skin Lesion Diagnosis with Uncertainty Estimation and Explainability.

Rajeev Kumar Singh, Rohan Gorantla, Sai Giridhar Allada, Narra Pratap

CoRR, 2020

2019

Cervical Cancer Diagnosis using CervixNet - A Deep Learning Approach.

Rohan Gorantla, Rajeev Kumar Singh, Rohan Pandey, Mayank Jain

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019