activity
19972006
most citedAnharmonicity and self-similarity of the free energy landscape of protein G

48 citations · 180 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.BM2006★ 48 cited

Anharmonicity and self-similarity of the free energy landscape of protein G

F. Pontiggia, G. Colombo, C. Micheletti +1

The near-native free energy landscape of protein G is investigated through 0.4 microseconds-long atomistic molecular dynamics simulations in explicit solvent. A theoretical and com…

cond-mat.stat-mech2001★ 40 cited

Conformations of Proteins in Equilibrium

Cristian Micheletti, Jayanth Banavar, Amos Maritan

We introduce a simple theoretical approach for an equilibrium study of proteins with known native state structures. We test our approach with results on well-studied globular prote…

cond-mat.soft2000

Recurrent oligomers in proteins - an optimal scheme reconciling accurate and concise backbone representations in automated folding and design studies

Cristian Micheletti, Flavio Seno, Amos Maritan

A novel scheme is introduced to capture the spatial correlations of consecutive amino acids in naturally occurring proteins. This knowledge-based strategy is able to carry out opti…

cond-mat.stat-mech2000★ 35 cited

Role of Secondary Motifs in Fast Folding Polymers: A Dynamical Variational Principle

Amos Maritan, Cristian Micheletti, Jayanth R. Banavar

A fascinating and open question challenging biochemistry, physics and even geometry is the presence of highly regular motifs such as alpha-helices in the folded state of biopolymer…

cond-mat.stat-mech1999★ 11 cited

A novel iterative strategy for protein design

A. Rossi, A. Maritan, C. Micheletti

We propose and discuss a novel strategy for protein design. The method is based on recent theoretical advancements which showed the importance to treat carefully the conformational…

cond-mat.stat-mech1997★ 46 cited

Protein design in a lattice model of hydrophobic and polar amino acids

C. Micheletti, F. Seno, A. Maritan +1

A general strategy is described for finding which amino acid sequences have native states in a desired conformation (inverse design). The approach is used to design sequences of 48…