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DeepDTA: deep drug-target binding affinity prediction

Bioinformatics, 2018-09, Vol.34 (17), p.i821-i829

2018

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Generative language models on nucleotide sequences of human genes

Scientific reports, 2024-09, Vol.14 (1), p.22204-11, Article 22204

2024

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Identifying gene-disease associations using centrality on a literature mined gene-interaction network

Bioinformatics, 2008-07, Vol.24 (13), p.i277-i285

2008

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Machine learning-based identification and rule-based normalization of adverse drug reactions in drug labels

BMC bioinformatics, 2019-12, Vol.20 (Suppl 21), p.707-707, Article 707

2019

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GLASS: a comprehensive database for experimentally validated GPCR-ligand associations

Bioinformatics, 2015-09, Vol.31 (18), p.3035-3042

2015

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PHISTO: pathogen-host interaction search tool

Bioinformatics, 2013-05, Vol.29 (10), p.1357-1358

2013

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Exploring data‐driven chemical SMILES tokenization approaches to identify key protein–ligand binding moieties

Molecular informatics, 2024-03, Vol.43 (3), p.e202300249-n/a

2024

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A comparative study of SMILES-based compound similarity functions for drug-target interaction prediction

BMC bioinformatics, 2016-03, Vol.17 (128), p.128-128, Article 128

2016

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A novel gene selection method for gene expression data for the task of cancer type classification

Biology direct, 2021-02, Vol.16 (1), p.7-7, Article 7

2021

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Statistical representation models for mutation information within genomic data

BMC bioinformatics, 2019-06, Vol.20 (1), p.324-13, Article 324

2019

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Resources for Turkish dependency parsing: introducing the BOUN Treebank and the BoAT annotation tool

Language resources and evaluation, 2022-03, Vol.56 (1), p.259-307

2022

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Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine

Database : the journal of biological databases and curation, 2019-01, Vol.2019

2019

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Michigan molecular interactions r2: from interacting proteins to pathways

Nucleic acids research, 2009-01, Vol.37 (Database issue), p.D642-D646

2009

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Exploring chemical space using natural language processing methodologies for drug discovery

Drug discovery today, 2020-04, Vol.25 (4), p.689-705

2020

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BIOSSES: a semantic sentence similarity estimation system for the biomedical domain

Bioinformatics (Oxford, England), 2017-07, Vol.33 (14), p.i49-i58

2017

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Linking entities through an ontology using word embeddings and syntactic re-ranking

BMC bioinformatics, 2019-03, Vol.20 (1), p.156-156, Article 156

2019

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Literature Mining and Ontology based Analysis of Host-Brucella Gene-Gene Interaction Network

Frontiers in microbiology, 2015-12, Vol.6, p.1386-1386

2015

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Segmenting hashtags and analyzing their grammatical structure

Journal of the American Society for Information Science and Technology, 2018-05, Vol.69 (5), p.675-686

2018

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A novel methodology on distributed representations of proteins using their interacting ligands

Bioinformatics, 2018-07, Vol.34 (13), p.i295-i303

2018

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Cluster-based mention typing for named entity disambiguation

Natural language engineering, 2022-01, Vol.28 (1), p.1-37

2022

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Classification of Beta-lactamases and penicillin binding proteins using ligand-centric network models

PloS one, 2015-02, Vol.10 (2), p.e0117874-e0117874

2015

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A closed-domain question answering framework using reliable resources to assist students

Natural language engineering, 2018-09, Vol.24 (5), p.725-762

2018

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ChemBoost: A Chemical Language Based Approach for Protein – Ligand Binding Affinity Prediction

Molecular informatics, 2021-05, Vol.40 (5), p.e2000212-n/a

2021

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Identifying Topics in Microblogs Using Wikipedia

PloS one, 2016-03, Vol.11 (3), p.e0151885-e0151885

2016

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Uncertainty-Aware Personal Assistant for Making Personalized Privacy Decisions

ACM transactions on Internet technology, 2023-03, Vol.23 (1), p.1-24, Article 13

2023

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DeepDTA: deep drug-target binding affinity prediction

Generative language models on nucleotide sequences of human genes

Identifying gene-disease associations using centrality on a literature mined gene-interaction network

Machine learning-based identification and rule-based normalization of adverse drug reactions in drug labels

GLASS: a comprehensive database for experimentally validated GPCR-ligand associations

PHISTO: pathogen-host interaction search tool

Exploring data‐driven chemical SMILES tokenization approaches to identify key protein–ligand binding moieties

A comparative study of SMILES-based compound similarity functions for drug-target interaction prediction

A novel gene selection method for gene expression data for the task of cancer type classification

Statistical representation models for mutation information within genomic data

Resources for Turkish dependency parsing: introducing the BOUN Treebank and the BoAT annotation tool

Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine

Michigan molecular interactions r2: from interacting proteins to pathways

Exploring chemical space using natural language processing methodologies for drug discovery

BIOSSES: a semantic sentence similarity estimation system for the biomedical domain

Linking entities through an ontology using word embeddings and syntactic re-ranking

Literature Mining and Ontology based Analysis of Host-Brucella Gene-Gene Interaction Network

Segmenting hashtags and analyzing their grammatical structure

A novel methodology on distributed representations of proteins using their interacting ligands

Cluster-based mention typing for named entity disambiguation

Classification of Beta-lactamases and penicillin binding proteins using ligand-centric network models

A closed-domain question answering framework using reliable resources to assist students

ChemBoost: A Chemical Language Based Approach for Protein – Ligand Binding Affinity Prediction

Identifying Topics in Microblogs Using Wikipedia

Uncertainty-Aware Personal Assistant for Making Personalized Privacy Decisions

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