LucaProt: A novel deep learning framework that incorporates protein amino acid sequence and structural information to predict protein function.

Multi-target de novo molecular generator conditioned on AlphaFold's latent protein embeddings.

Efficient implementatin of ESM family.

Nature Computational Science: Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model

[AAAI 2025] CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction

LucaProt: A novel deep learning framework that incorporates protein amino acid sequence and structural information to predict protein function.

We developed a dual-channel model named LucaPCycle, based on the raw sequence and protein language large models, to predict whether a protein sequence has phosphate-solubilizing functionality and its specific type among the 31 fine-grained functions.

PLMFit platform for TL on PLMs

A book about Language/deep-learning models in Genomics.

Developing classification models for DNA-Binding proteins through machine learning and large language models

PPTStab: Designing of thermostable proteins with a desired melting temperature

Protein Diversification and Generation through Yielded mutations (Prodigy) Protein is an end-to-end platform for plug and play protein engineering

Collection of prediction models for biological tasks

TooT-PLM-ionCT: A bioinformatics framework utilizing protein language models for accurate classification of ion channels and ion transporters from membrane proteins.

Large language models for predicting ion channels modulating proteins

Exploring protein sequence generation of a target protein family using pretrained and fine-tuned protein language models (pLMs).

Multilingual model improves zero-shot prediction of disease effects on proteins

[ICML 2025 Workshop FM4BS] AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization

[Under Review] Implementation of Recursive Cleaning for Large-scale Protein Data via Multimodal Learning