M. K. Ameriks

2019

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

Papers from M. K. Ameriks's perspective

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

1. Virtual Computational Chemistry Laboratory – Design and Description
2. The treatment of ties in ranking problems.
3. A NEW MEASURE OF RANK CORRELATION
4. Dropout: a simple way to prevent neural networks from overfitting
5. Multi-task Neural Networks for QSAR Predictions
6. Massively Multitask Networks for Drug Discovery
7. Scalable molecular dynamics with NAMD
8. The Amber biomolecular simulation programs
9. MIPS: analysis and annotation of proteins from whole genomes in 2005 (Nucleic Acids Res.)
10. Aggregation of topological motifs in the Escherichia coli transcriptional regulatory network

Their papers

• D3R grand challenge 4: blind prediction of protein–ligand poses, affinity rankings, and relative binding free energies (2019) — 113 citations