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autocryopicker

An Unsupervised Learning Approach for Fully Automated Single Particle Picking in Cryo-EM Images

bml_faq

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

casp13_dashboard

A central web portal to manage CASP13 predictions of all MULTICOM predictors

cata

Collaborative Attentive-Autoencoder for scientific article recommendation

cryo2struct

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

cryoemseq

The program of mapping protein sequences into protein Ca trace derived from cryoEM image data

cryosegnet

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

cryotransformer

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

deepcomplex

Deep learning prediction of inter-chain contacts of protein complex

deepcomplex2

Deep learning prediction of protein complex structures from sequences

deepcryoem

Deep learning methods for CryoEM data analysis

deepcryomap

The software package to align cryo-EM particles to create 3D density maps of proteins

deepcryotrace

Deep learning methods to predict protein backbone trace from cryoEM images

deepgraphene

Deep learning for predicting the properties of graphene

deepgrn

Deep learning for modeling gene regulatory network

deepproligand

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

deeprank

The deep learning method for ranking protein structural models

deeprank3

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

dfold

The distance-based protein folding

distdom

Deep learning prediction of protein domains from distance maps

distema

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

dncon2_inter

Predicting inter-protein contacts using DNCON2

dncon4

Designing and benchmarking deep learning architectures for protein contact prediction

dncon4_system

The DNCON4 system for training deep learning for protein contact prediction and making predictions

dproqa

drcon

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

drcon_hetero

Deep learning method for predicting interchain contacts in heterodimers

drlcomplex

Deep reinforcement learning for protein complex modeling

ganss

Generative Adversarial Network for Protein Secondary Structure Prediction

genomeflow

GenomeFlow: A Graphical Tool for Modeling and Analyzing 3D Genome Structure