Volkan Atalay

Artificial Intelligence · 2008–2019

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it

Whom Volkan Atalay trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Shigeo Abe (in Artificial Intelligence)

Papers from Volkan Atalay's perspective

Ordered by how strongly the researchers Volkan Atalay trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Protein Data Bank.
2. Gene Ontology: tool for the unification of biology
3. BRENDA, enzyme data and metabolic information (Nucleic Acids Res.)
4. The ChEMBL bioactivity database: an update
5. DrugBank 4.0: shedding new light on drug metabolism
6. Improved protein–ligand docking using GOLD
7. Network pharmacology: the next paradigm in drug discovery. (Nature Chemical Biology)
8. Structure-Based Virtual Screening for Drug Discovery: a Problem-Centric Review
9. SVM-Prot: web-based support vector machine software for functional classification of a protein from its primary sequence (Nucleic Acids Res.)
10. Pattern Classification

Their papers

• ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature (2018) — 160 citations
• The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (2019) — 434 citations
• Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases (2018) — 450 citations
• Subsequence-based feature map for protein function classification (2008) — 19 citations