Segment cell membranes in tomograms using fine-tuned SAM

A unified multimodal AI model for zero-shot and supervised protein function prediction

MICA: multimodal deep learning integration of cryo-EM and AlphaFold3 for high-accuracy protein structure determination

Deep learning prediction of the quality of protein structural models with inter-residue distance maps

Protein binding site prediction with transformers

AI methods for predicting DNA sites for TF binding

CryoTEN: Efficiently Enhancing Cryo-EM Density Maps Using Transformers

Deep learning methods for multi-pesticide detection from SERS data

Customized foundational image segmentation models for picking protein particles in cryo-EM images

Predicting stoichiometry of protein complexes using AlphaFold3 and structural templates

Deep learning tools for converting cryo-EM density maps to protein structures

A transformer model for picking protein particles in cryo-EM images

Transformer for protein function prediction

A dataset for training and testing machine learning methods for denoising cryo-EM density maps

Accurate prediction of single-site mutation induced changes on protein structures with equivariant graph neural networks

Deep dilated convolutional residual neural network for predicting interchain contacts of protein homodimers

A deep learning bioinformatics pipeline for protein-ligand complex structure prediction

Deep reinforcement learning for protein complex modeling

Prediction of the quality of single protein model using deep learning and residue-residue distance maps

Deep learning prediction of protein domains from distance maps

Deep learning method for predicting interchain contacts in heterodimers

Deep learning prediction of protein complex structures from sequences

Deep learning for modeling gene regulatory network

This is a bioinformatics tool to use SAXS data to assemble protein domain structures into full-length structural models

Deep learning prediction of inter-chain contacts of protein complex

MULTICOM human system for CASP14 tertiary structure prediction

Predicting inter-protein contacts using DNCON2

Distance-based protein folding based on gradient descent optimization

This repository contains the frequently asked questions, their answers and the description of resources in the Bioinformatics and Machine Learning Lab (BML).