Topic 105

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230 items. Top items listed below.

Annotating Gene Ontology terms for protein sequences with the Transformer model 105 26 4

A Deep Learning Framework for Predicting Human Essential Genes by Integrating Sequence and Functional data 105 26 4

DeepHE: Accurately Predicting Human Essential Genes based on Deep Learning 105 26 13 4

Structure-Based Function Prediction using Graph Convolutional Networks 105 26 4

CoCoNet: Boosting RNA contact prediction by convolutional neural networks 105 26 13 4

Detection of pre-microRNA with Convolutional Neural Networks 105 26 4

DELPHI: accurate deep ensemble model for protein interaction sites prediction 105 13 4

Struct2Graph: A graph attention network for structure based predictions of protein-protein interactions 105 26 13 4

A comparative study of supervised machine learning algorithms for the prediction of long-range chromatin interactions 105 26 4

Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function 105 26 13 4

Deep Homology-Based Protein Contact-Map Prediction 105 26 4

DeepPheno: Predicting single gene loss of function phenotypes 105 26 13 4

Epitope Prediction of Antigen Protein using Attention-Based LSTM Network 105 26 24 4

Transforming the Language of Life: Transformer Neural Networks for Protein Prediction Tasks 105 26 4 2

Leveraging non-structural data to predict structures of protein-ligand complexes 105 26 4

Evolutionary context-integrated deep sequence modeling for protein engineering 105 26 4

T4SE-XGB: interpretable sequence-based prediction of type IV secreted effectors using eXtreme gradient boosting algorithm 105 13 4

Using Single Protein/Ligand Binding Models to Predict Active Ligands for Unseen Proteins 105 26 4

Improved protein structure prediction by deep learning irrespective of co-evolution information 105 26 13 4

AnnapuRNA: a scoring function for predicting RNA-small molecule interactions. 105 13 4

iMDA-BN: Identification of miRNA-Disease Associations based on the Biological Network and Graph Embedding Algorithm 105 26 4

A High Accurate Machine Learning Meta-Strategy for the Prediction of Intrinsically Disorder Proteins 105 26 4

DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning 105 13 4

JEDI: Circular RNA Prediction based on Junction Encoders and Deep Interaction among Splice Sites 105 13 4

TranSynergy: Mechanism-Driven Interpretable Deep Neural Network for the Synergistic Prediction and Pathway Deconvolution of Drug Combinations 105 13 4

StackRAM: a cross-species method for identifying RNA N6-methyladenosine sites based on stacked ensemble 105 13 4

Deep learning approaches predict non-coding RNA functions from only raw sequence data 162 105 13 4

DMLDA-LocLIFT: Identification of multi-label protein subcellular localization using DMLDA dimensionality reduction and LIFT classifier 105 13 4

Fertility-LightGBM: A fertility-related protein prediction model by multi-information fusion and light gradient boosting machine 105 26 4

Sequence representations and their utility for predicting protein-protein interactions 105 26 4

Terminitor: Cleavage Site Prediction Using Deep Learning Models 105 26 4

PickPocket : Pocket binding prediction for specific ligands family using neural networks. 162 105 13 4

IAV-CNN: a 2D convolutional neural network model to predict antigenic variants of influenza A virus 105 26 4

Graph convolutional networks for drug response prediction 105 26 13 4

Transformer neural network for protein-specific de novo drug generation as a machine translation problem 105 26 4

Imputing missing RNA-seq data from DNA methylation by using transfer learning based-deep neural network 105 26 4

miTAR: a hybrid deep learning-based approach for predicting miRNA targets 105 26 13 4

Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks 105 26 4

Evaluating Representations for Gene Ontology Terms 105 26 4

Predicting candidate genes from phenotypes, functions, and anatomical site of expression 162 105 13 4

Template-based prediction of protein structure with deep learning 105 26 13 4

An in silico approach to identification, categorization and prediction of nucleic acid binding proteins 105 26 4

DEELIG: A Deep Learning-based approach to predict protein-ligand binding affinity 105 26 4

Machine Learning and Deep Learning challenges for building 2'O site prediction 105 13 4

RFDTI: Using Rotation Forest with Feature Weighted for Drug-Target Interaction Prediction from Drug Molecular Structure and Protein Sequence 105 26 4

GraphProt2: A novel deep learning-based method for predicting binding sites of RNA-binding proteins 105 26 4

A deep learning framework for high-throughput mechanism-driven phenotype compound screening 26 4

SSnet: A Deep Learning Approach for Protein-Ligand Interaction Prediction 105 26 4

Predicting Residues Involved in Anti-DNA Autoantibodies with Limited Neural Networks 105 26 4

Genome-wide investigation of gene-cancer associations for the prediction of novel therapeutic targets in oncology 112 26 4

Critical Assessment of Protein Intrinsic Disorder Prediction 105 26 4

ECMarker: Interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages 105 26 13 4

ACP-MHCNN: An Accurate Multi-Headed Deep-Convolutional Neural Network to Predict Anticancer peptides 105 26 13 4

NetQuilt: Deep Multispecies Network-based Protein Function Prediction using Homology-informed Network Similarity 105 26 4

SAINT: Self-Attention AugmentedInception-Inside-Inception Network Improves ProteinSecondary Structure Prediction 105 13 4

Learning, Visualizing and Exploring 16S rRNA Structure Using an Attention-based Deep Neural Network 105 26 13 4

TALE: Transformer-based protein function Annotation with joint sequence-Label Embedding 162 105 13 4

AE-LGBM: Sequence-Based Novel Approach To Detect Interacting Protein Pairs via Ensemble of Autoencoder and LightGBM. 184 105 26 7 4

RNA secondary structure prediction using deep learning with thermodynamic integration 105 26 4

Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions 105 26 13 4

FingerprintContacts: Predicting Alternative Conformations of Proteins from Coevolution 105 91 26 4

Network-based Machine Learning Approach for Structural Domain Identification in Proteins 105 26 4

DLDTI: A learning-based framework for identification of drug-target interaction using neural networks and network representation 105 26 13 4

MatchMaker: A Deep Learning Framework for Drug Synergy Prediction 105 13 4

Improved protein model quality assessment by integrating sequential and pairwise features using deep learning 105 26 13 4

Ecology-guided prediction of cross-feeding interactions in the human gut microbiome 105 26 4

Deep learning model can predict water binding sites on the surface of proteins using limited-resolution data 111 105 26 4

TripletProt: Deep Representation Learning of Proteins based on Siamese Networks 105 26 4

Protein sequence design with a learned potential 105 26 4

Accurate prediction of residue-residue contacts across homo-oligomeric protein interfaces through deep leaning 105 26 4

Classifying protein structures into folds by convolutional neural networks, distance maps, and persistent homology 105 26 13 4

AIRBP: Accurate identification of RNA-binding proteins using machine learning techniques 105 26 4

Prediction of protein subcellular localization using deep learning and data augmentation 162 105 13 4

UFold: Fast and Accurate RNA Secondary Structure Prediction with Deep Learning 105 26 4

A novel single-cell based method for breast cancer prognosis 43 26 4

Exploration of Chemical Space with Partial Labeled Noisy Student Self-Training for Improving Deep Learning: Application to Drug Metabolism 105 26 13 4

ToxVec: Deep Language Model-Based Representation Learning for Venom Peptide Classification 162 105 26 13 4

Co-evolutionary Distance Prediction for Flexibility Prediction 105 26 4

Pathway-guided deep neural network toward interpretable and predictive modeling of drug sensitivity 105 26 4

Self-normalizing learning on biomedical ontologies using a deep Siamese neural network 105 26 13 4

Balrog: A universal protein model for prokaryotic gene prediction 162 13 4

Phylogenetic correlations have limited effect on coevolution-based contact prediction in proteins 162 105 13 4

Anti-cancer Drug Synergy Prediction in Understudied Tissues using Transfer Learning 162 105 13 4

DeepViral: infectious disease phenotypes improve prediction of novel virus-host interactions 105 13 4

GraphDTA: Predicting drug-target binding affinity with graph neural networks 162 105 13 4

Hybridized distance- and contact-based hierarchical structure modeling for folding soluble and membrane proteins 184 105 13 4

Using Conditional Generative Adversarial Networks to Boost the Performance of Machine Learning in Microbiome Datasets 26 4

Current challenges for epitope-agnostic TCR interaction prediction and a new perspective derived from image classification 105 26 4

A thorough analysis of the contribution of experimental, derived and sequence-based predicted protein-protein interactions for functional annotation of proteins 105 26 4

DeepPPPred: An Ensemble of BERT, CNN, and RNN for Classifying Co-mentions of Proteins and Phenotypes 105 26 4

Structure-aware Protein Solubility Prediction From Sequence Through Graph Convolutional Network And Predicted Contact Map 105 26 4

End-to-end multitask learning, from protein language to protein features without alignments 105 26 4

PharmaNet: Pharmaceutical discovery with deep recurrent neural networks. 105 26 4

To improve the predictions of binding residues with DNA, RNA, carbohydrate, and peptide via multiple-task deep neural networks 105 26 4

Genome-wide Prediction of Small Molecule Binding to Remote Orphan Proteins Using Distilled Sequence Alignment Embedding 105 26 4

The impact of different negative training data on regulatory sequence predictions 26 4

VIDHOP, viral host prediction with Deep Learning 162 105 13 4

Deep learning of gene interactions from single cell time-course expression data 147 13 4

EpiDope: A Deep neural network for linear B-cell epitope prediction 105 13 4

Predicting Mean Ribosome Load for 5'UTR of any length using Deep Learning 105 26 4