Jianlin Cheng (jianlin-cheng)

jianlin-cheng

Geek Repo

Company:University of Missouri - Columbia

Location:Columbia, MO 65211, USA

Home Page:http://calla.rnet.missouri.edu/cheng/

Github PK Tool:Github PK Tool


Organizations
Cheng-Lab
multicom-toolbox

Jianlin Cheng's repositories

CryoTransformer

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

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DeepGRN

Deep learning for modeling gene regulatory network

TransFun

Transformer for protein function prediction

CATA

Collaborative Attentive-Autoencoder for scientific article recommendation

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CryoSegNet

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

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DRLComplex

Deep reinforcement learning for protein complex modeling

DeepComplex

Deep learning prediction of inter-chain contacts of protein complex

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GNET2

Gene regulatory network modeling tool (GNET2)

PreMut

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

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DRCon

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

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PRO3DCNN

3D Convolutional Neural Networks for Classifying Protein Structures into Folds

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DeepComplex2

Deep learning prediction of protein complex structures from sequences

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DeepProLigand

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

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DISTEMA

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

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InterpretContactMap

Deep learning methods for interpreting protein contact maps

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MULTICOM_Human_CASP14

MULTICOM human system for CASP14 tertiary structure prediction

DeepCryoEM

Deep learning methods for CryoEM data analysis

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DistDom

Deep learning prediction of protein domains from distance maps

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DNCON2_Inter

Predicting inter-protein contacts using DNCON2

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SAXSDom

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

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BML_FAQ

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

Cryo2Struct

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

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DFOLD

The distance-based protein folding

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DeepCryoTrace

Deep learning methods to predict protein backbone trace from cryoEM images

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DeepRank

The deep learning method for ranking protein structural models

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DeepRank3

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

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DRCon_Hetero

Deep learning method for predicting interchain contacts in heterodimers

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GFOLD

Distance-based protein folding based on gradient descent optimization

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ProBST

Protein binding site prediction with transformers

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