Author

Sanjay S. Bankapur

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Jul 2026

Deep cross-modal representation fusion learning for enhanced drug target affinity prediction.

The proposed PCBERT-GAT-DFFNN-DTA model, a three-stage deep cross-modal representation fusion framework for accurate DTA prediction, achieves significant improvements in R2 scores across all datasets, demonstrating its effectiveness in learning complex drug protein interactions for reliable DTA prediction.

Essmily Simon, Sanjay S. Bankapur · Analytical Biochemistry · 0 citations

Open access Jul 2026

Contextual Representation Learning With ResNet Refinement and Deep Classification for Enhanced Drug Target Interaction Prediction

A novel deep learning framework is proposed that leverages pre‐trained BERT‐based language models to extract contextual embeddings from protein and drug sequences and refined using a proposed dedicated ResNet‐based subnetwork to preserve intrinsic biochemical characteristics.

Essmily Simon, Sanjay S. Bankapur · Chemical Biology and Drug De... · 0 citations

#protein folding Sep 2026

Enhancing protein subcellular localization prediction through language model-based knowledge embeddings and machine learning techniques.

Evaluating the effectiveness of embeddings from five Protein Language Models, including ProtBERT-BFD, ESM-2, ProtALBERT, ProLLaMA, and ProtGPT-2, as input features for various machine learning classifiers suggests that while current embeddings offer strong performance, further advancements in feature extraction and mod...

Karthik Avinash, S. Tejas, Sriram Mamidala et al. · Analytical Biochemistry · 0 citations