David E. Konerding

Molecular Biology · 2013–2015

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 47 citations into it; #6,485 of 17,773 by trust here, #7,205 by citations
• Computational Theory and Mathematics — 17 citations into it; #6,480 of 12,182 by trust here, #1,068 by citations
• Materials Chemistry — 17 citations into it; #2,367 of 11,513 by trust here, #4,355 by citations

Whom David E. Konerding trusts overall

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

1. Brian K. Shoichet
2. Ajay N. Jain

Who trusts David E. Konerding overall

1. Sergey Ovchinnikov
2. Garrett B. Goh
3. Hahnbeom Park

Papers from David E. Konerding's perspective

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

1. Going deeper with convolutions
2. Learning representations by back-propagating errors
3. A unified architecture for natural language processing: deep neural networks with multitask learning
4. Scikit-learn: Machine Learning in Python
5. On the limited memory BFGS method for large scale optimization
6. MapReduce: simplified data processing on large clusters
7. CHARMM: The biomolecular simulation program
8. Maximum Unbiased Validation (MUV) Data Sets for Virtual Screening Based on PubChem Bioactivity Data
9. New types of deep neural network learning for speech recognition and related applications: an overview
10. Structure and Function of an Irreversible Agonist-β2 Adrenoceptor complex (Nature)

Their papers

• Relaxation of backbone bond geometry improves protein energy landscape modeling (2014) — 399 citations
• Massively Multitask Networks for Drug Discovery (2015) — 499 citations
• Cloud-based simulations on Google Exacycle reveal ligand-modulation of GPCR activation pathways (2013) — 405 citations