BetterScholar BetterScholar
11
Role
Title
Level Year L/R
🐬 Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functions.
K. Simons, C. Kooperberg, E. Huang, D. Baker
10 1997
10
🐬
🐒 Are protein–protein interfaces more conserved in sequence than the rest of the protein surface?
Daniel R. Caffrey, Shyamal Somaroo, J. Hughes, J. Mintseris, E. Huang
8 2004
8
🐒
🐬 Protein folding: the endgame.
M. Levitt, M. Gerstein, E. Huang, S. Subbiah, J. Tsai
7 1997
7
🐬
🐬 Ab initio construction of protein tertiary structures using a hierarchical approach.
Yuhao Xia, E. Huang, M. Levitt, R. Samudrala
7 2000
7
🐬
🐬 Factors affecting the ability of energy functions to discriminate correct from incorrect folds.
Britt H. Park, E. Huang, M. Levitt
7 1997
7
🐬
🦁 Recognizing native folds by the arrangement of hydrophobic and polar residues.
E. Huang, Subramanian Subbiah, Michael Levitt
7 1995
7
🦁
🐬 Ab initio protein structure prediction using a combined hierarchical approach
R. Samudrala, Yuhao Xia, E. Huang, M. Levitt
6 1999
6
🐬
🐬 The role of turns in the structure of an α-helical protein
A. P. Brunet, E. Huang, M. E. Huffine, J. Loeb, R. Weltman, M. Hecht
6 1993
6
🐬
🦁 Ab initio fold prediction of small helical proteins using distance geometry and knowledge-based scoring functions.
E. Huang, Ram Samudrala, Jay W. Ponder
6 1999
6
🦁
🐒 A Combined Approach for Ab Initio Construction of Low Resolution Protein Tertiary Structures from Sequence
Ram Samudrala, Yu Xia, Michael Levitt, E. Huang
6 1998
6
🐒
🦁 Using a hydrophobic contact potential to evaluate native and near-native folds generated by molecular dynamics simulations.
E. Huang, S. Subbiah, J. Tsai, M. Levitt
6 1996
6
🦁