P. Mehta

with Argos · 1995

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom P. Mehta trusts overall

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

1. Christopher Sander
2. Burkhard Rost
3. Reinhard Schneider
4. Terrence J. Sejnowski

Papers from P. Mehta's perspective

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

1. Prediction of protein secondary structure at better than 70% accuracy.
2. Database of homology‐derived protein structures and the structural meaning of sequence alignment
3. Predicting the secondary structure of globular proteins using neural network models.
4. A method to identify protein sequences that fold into a known three-dimensional structure.
5. Protein secondary structure prediction with a neural network.
6. Prediction of protein secondary structure and active sites using the alignment of homologous sequences.
7. Improvements in protein secondary structure prediction by an enhanced neural network.
8. Selection of representative protein data sets
9. Learning representations by back-propagating errors
10. Learning representations by back-propagation errors, nature

Their papers

• A simple and fast approach to prediction of protein secondary structure from multiply aligned sequences with accuracy above 70% (1995)