Topic: drug-target-interactions Goto Github
Some thing interesting about drug-target-interactions
Some thing interesting about drug-target-interactions
drug-target-interactions,M.Sc-final-project
User: aminkhod
drug-target-interactions,Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
Organization: astrazeneca
drug-target-interactions,Integrated View Predictive GAN for Drug-Target Indication Prediction
User: bbrighttaer
drug-target-interactions,Integrated View Predictive GAN for Drug-Target Indication Prediction
User: bbrighttaer
drug-target-interactions,Official Implementation of Compass
Organization: bimsbbioinfo
Home Page: https://arxiv.org/abs/2406.06841
drug-target-interactions,DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
Organization: cansyl
drug-target-interactions,Automatic extraction of interacting compound-target pairs from ChEMBL.
Organization: chembl
drug-target-interactions,Code to accompany the paper: ”ProteinNetworkSight efficiently transforms co-expressed protein lists into interactive networks and offers suggestions for their modifications”
User: cohenoa
Home Page: https://proteinnetworksight.jce.ac/
drug-target-interactions,De novo target prediction by chemical similarity-guided network-based inference
User: cvigilv
Home Page: https://doi.org/10.3390/ijms23179666
drug-target-interactions,An official Molecule Transformer Drug Target Interaction (MT-DTI) model
Organization: deargen
drug-target-interactions,Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
Organization: deargen
drug-target-interactions,Providing interactions between drugs and genes sourced from a variety of publications and knowledgebases
Organization: dgidb
Home Page: https://dgidb.org
drug-target-interactions,Fetch pharmacological knowledge on chemical compounds and squeeze it into semantic triples. For analysis of chemical screens and training and evaluation of algorithms.
User: dmyersturnbull
drug-target-interactions,Code for Binding Affinity Prediction with Graph Neural Networks
User: eereenah
drug-target-interactions,Voting-averaged ensemble regression and hybrid neural networks to investigate potent leads against colorectal cancer
User: gxcaesar
drug-target-interactions,Source code and dataset for paper "BNEMDI: a novel multiple features integrated model for miRNA-drug interaction prediction"
User: heath0
drug-target-interactions,Official implementation of DrugGEN
Organization: hubiodatalab
drug-target-interactions,Using spectral graph theory to analyze two biological networks
User: huidr
drug-target-interactions,My Machine Learning Projects
User: john-fante
drug-target-interactions,Exploring deep learning for predicting the binding affinity between a small molecule (i.e. a drug) and a protein.
User: kalleknast
drug-target-interactions,A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
User: kexinhuang12345
Home Page: https://doi.org/10.1093/bioinformatics/btaa1005
drug-target-interactions,A Knowledge Graph to Illuminate the Druggable Genome
Organization: knowledge-graph-hub
Home Page: https://knowledge-graph-hub.github.io/kg-idg/
drug-target-interactions,
Organization: larngroup
drug-target-interactions,A PyTorch-based system for highly accurate drug-target interaction predictions utilizing multi-modal large language models to discern structural affinities in drug-target pairs.
User: lzcstan
drug-target-interactions,Using ESM2 protein embeddings and MolecularTransformer drug embeddings to train a linear classifier to predict potential drug-targets interactions
Organization: maastrichtu-ids
Home Page: https://predict-drug-target.137.120.31.160.nip.io
drug-target-interactions,HyperPCM: Robust task-conditioned modeling of drug-target interactions
Organization: ml-jku
drug-target-interactions,Software for detecting non-covalent interactions formed within complexes of nucleic acids with ligands.
User: n-szulc
drug-target-interactions,ANN4EEG is a convolutional neural network toolkit for EEG-mediated drug-target interaction prediction. This approach for drug-target interaction prediction can explain the mechanisms underlying complicated drug actions, as it allows the identification of similarities in the mechanisms of action and effects of psychotropic drugs.
User: neuroeeg
Home Page: https://cmi.to/ann4eeg/
drug-target-interactions,ISCMF: Integrated Similarity-Constrained Matrix Factorization for Drug-Drug Interaction Prediction
User: nrohani
drug-target-interactions,Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
User: nrohani
drug-target-interactions,This is the repository for reproducing results in "APRILE: Exploring the Molecular Mechanisms of Drug Side Effects with Explainable Graph Neural Networks".
User: nyxflower
drug-target-interactions,Small competition project to evaluate several splitting methods for double cold splits of Drug-Target-Interaction datasets
User: old-shatterhand
drug-target-interactions,A powerful abstraction of gene databases
Organization: omics-datascience
drug-target-interactions,Electrophysiology Chemical Drug Signal Identification, Fentanyl data...
User: paulsgithubs
drug-target-interactions,R scripts included in a bioinformatics pipeline for differential PGx analysis of cancer drug response
Organization: pgxauth
drug-target-interactions,Secure multiparty computation for privacy-preserving drug discovery
User: rongma6
drug-target-interactions,Official implementation of "Weighted Weighted Edit Distance optimized using Genetic Algorithm for SMILES-based Compound Similarity, PAAA(SCIE)".
User: sabro98
drug-target-interactions,Two matrix factorisation methods to solve drug-target interaction problem
User: samuelmidgley
drug-target-interactions,Targeted and non-targeted anticancer drugs and drug regimens
User: sigven
Home Page: https://sigven.github.io/pharmOncoX/
drug-target-interactions,Repository for the HackBio'2021 Internship for Team Drug-Development-A
User: ssiddhantsharma
Home Page: https://ssiddhantsharma.github.io/deep-purpose-tutorial/
drug-target-interactions,For this problem, we proposed the use of bidirectional-LSTM’s(Long Short Term Memory) with 1-D CNN layer to classify patient notes at character level and at word level. The 1-D CNN is employed to scale back the training time. In order to improve the performance, we will also feed the network combined word embedding consisting of Pre-trained word2vec 100 dimension word embedding trained on the Twitter ADR Dataset database and character embedding generated by a Char-CNN for Named Entity Recognition
User: sumanismcse
drug-target-interactions,An integrated drug-target bioactivity matrix across 52,498 chemical compounds and 467 kinase targets
User: tangsoftwarelab
drug-target-interactions,MLT-LE: predicting drug–target binding affinity with multi-task residual neural networks : https://arxiv.org/abs/2209.06274
User: veali
drug-target-interactions,NeuRank: Learning to Ranking with Neural Networks for Drug-Target Interaction Prediction
User: xiuzezhou
drug-target-interactions,DeepDrugDomain: A versatile Python toolkit for streamlined preprocessing and accurate prediction of drug-target interactions and binding affinities, leveraging deep learning for advancing computational drug discovery.
User: yazdanimehdi
drug-target-interactions,
User: yellajaswanth
drug-target-interactions,Final Project of Deep Learning for Healthcare Spring 2022 - Reproducing DeepDTA
User: ytabatabaee
drug-target-interactions,Medich is an application that raises the problem of satisfaction related to BPJS, especially in the lower classes, with Medich being able to solve all these problems. Medich has a Donation feature that will be very useful for the Community
User: zainul-code
drug-target-interactions,Predict whether the protien sequence and the drug SMILES will be interact with each other
User: zhanglu-cst
drug-target-interactions,FusionDTI utilises a Token-level Fusion module to effectively learn fine-grained information for Drug-Target Interaction Prediction.
User: zhaohanm
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