Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Pengfei Tian is active.

Publication


Featured researches published by Pengfei Tian.


PLOS Computational Biology | 2016

Structural Determinants of Misfolding in Multidomain Proteins

Pengfei Tian; Robert B. Best

Recent single molecule experiments, using either atomic force microscopy (AFM) or Förster resonance energy transfer (FRET) have shown that multidomain proteins containing tandem repeats may form stable misfolded structures. Topology-based simulation models have been used successfully to generate models for these structures with domain-swapped features, fully consistent with the available data. However, it is also known that some multidomain protein folds exhibit no evidence for misfolding, even when adjacent domains have identical sequences. Here we pose the question: what factors influence the propensity of a given fold to undergo domain-swapped misfolding? Using a coarse-grained simulation model, we can reproduce the known propensities of multidomain proteins to form domain-swapped misfolds, where data is available. Contrary to what might be naively expected based on the previously described misfolding mechanism, we find that the extent of misfolding is not determined by the relative folding rates or barrier heights for forming the domains present in the initial intermediates leading to folded or misfolded structures. Instead, it appears that the propensity is more closely related to the relative stability of the domains present in folded and misfolded intermediates. We show that these findings can be rationalized if the folded and misfolded domains are part of the same folding funnel, with commitment to one structure or the other occurring only at a relatively late stage of folding. Nonetheless, the results are still fully consistent with the kinetic models previously proposed to explain misfolding, with a specific interpretation of the observed rate coefficients. Finally, we investigate the relation between interdomain linker length and misfolding, and propose a simple alchemical model to predict the propensity for domain-swapped misfolding of multidomain proteins.


bioRxiv | 2018

The Folding Pathway of an Ig Domain is Conserved On and Off the Ribosome

Pengfei Tian; Annette Steward; Renuka Kudva; Ting Su; Patrick J. Shilling; Adrian A. Nickson; Jeffrey J. Hollins; Roland Beckmann; Gunnar von Heijne; Robert B. Best; Jane Clarke

Proteins that fold cotranslationally may do so in a restricted configurational space, due to the volume occupied by the ribosome. How does this environment, coupled with the close proximity of the ribosome, affect the folding pathway of a protein? Previous studies have shown that the cotranslational folding process for many proteins, including small, single domains, is directly affected by the ribosome. Here, we investigate the cotranslational folding of an all-b immunoglobulin domain, titin I27. Using an arrest peptide-based assay and structural studies by cryo-EM, we show that I27 folds in the mouth of the ribosome exit tunnel. Simulations that use a kinetic model for the force-dependence of escape from arrest, accurately predict the fraction of folded protein as a function of length. We used these simulations to probe the folding pathway on and off the ribosome. Our simulations - which also reproduce experiments on mutant forms of I27 - show that I27 folds, while still sequestered in the mouth of the ribosome exit tunnel, by essentially the same pathway as free I27, with only subtle shifts of critical contacts from the C to the N terminus. Significance Statement Most proteins need to fold into a specific three-dimensional structure in order to function. The mechanism by which isolated proteins fold has been thoroughly studied by experiment and theory. However, in the cell proteins do not fold in isolation, but are synthesized as linear chains by the ribosome during translation. It is therefore natural to ask at which point during synthesis proteins fold, and whether this differs from the folding of isolated protein molecules. By studying folding of a well characterized protein domain, titin I27, stalled at different points during translation, we show that it already folds in the mouth of the ribosome exit tunnel, and that the mechanism is almost identical to that of the isolated protein.


Angewandte Chemie | 2018

Co‐Evolutionary Fitness Landscapes for Sequence Design

Pengfei Tian; John M. Louis; James L. Baber; Annie Aniana; Robert B. Best

Efficient and accurate models to predict the fitness of a sequence would be extremely valuable in protein design. We have explored the use of statistical potentials for the coevolutionary fitness landscape, extracted from known protein sequences, in conjunction with Monte Carlo simulations, as a tool for design. As proof of principle, we created a series of predicted high-fitness sequences for three different protein folds, representative of different structural classes: the GA (all-α) and GB (α/β) binding domains of streptococcal protein G, and an SH3 (all-β) domain. We found that most of the designed proteins can fold stably to the target structure, and a structure for a representative of each for GA, GB and SH3 was determined. Several of our designed proteins were also able to bind to native ligands, in some cases with higher affinity than wild-type. Thus, a search using a statistical fitness landscape is a remarkably effective tool for finding novel stable protein sequences.


bioRxiv | 2018

A small single-domain protein folds through the same pathway on- and off- the ribosome

Emily J. Guinn; Pengfei Tian; Mia Shin; Robert B. Best; Susan Marqusee

In vivo, proteins fold and function in a complex environment where they are subject to many stresses that can modulate protein energy landscapes. One aspect of the environment pertinent to protein folding is the ribosome, since proteins have the opportunity to fold while still bound to the ribosome during translation. We use a combination of force and chemical denaturant (chemo-mechanical unfolding), as well as point mutations, to characterize the folding mechanism of the src SH3 domain both as a stalled ribosome nascent chain and free in solution. Our results indicate that src SH3 folds through the same pathway on and off the ribosome. Molecular simulations also indicate that the ribosome does not affect the folding pathway for this small protein. Taken together, we conclude that the ribosome does not alter the folding mechanism of this small protein, which appears to fold at the mouth of the ribosome as the protein emerges from the exit tunnel. These results, if general, suggest the ribosome may exert a bigger influence on the folding of multi-domain proteins or protein domains that can partially fold before the entire domain sequence is outside the ribosome exit tunnel.


Biophysical Journal | 2017

How Many Protein Sequences Fold to a Given Structure? A Coevolutionary Analysis

Pengfei Tian; Robert B. Best


Journal of Back and Musculoskeletal Rehabilitation | 2018

Backbone 1H, 13C, 15N Chemical Shift Assignments of GB1 Seq2

Pengfei Tian; John M. Louis; James L. Baber; Robert B. Best


Biophysical Journal | 2018

Conservation of Folding Mechanism in Cotranslational Folding of Titin I27

Pengfei Tian; Annette Steward; Jane Clarke; Robert B. Best


Angewandte Chemie | 2018

Inside Back Cover: Co-Evolutionary Fitness Landscapes for Sequence Design (Angew. Chem. Int. Ed. 20/2018)

Pengfei Tian; John M. Louis; James L. Baber; Annie Aniana; Robert B. Best


Angewandte Chemie | 2018

Innenrücktitelbild: Co‐Evolutionary Fitness Landscapes for Sequence Design (Angew. Chem. 20/2018)

Pengfei Tian; John M. Louis; James L. Baber; Annie Aniana; Robert B. Best


Biophysical Journal | 2017

Energy Landscape of a Bridge between Protein Folds

Pengfei Tian; Robert B. Best

Collaboration


Dive into the Pengfei Tian's collaboration.

Top Co-Authors

Avatar

Robert B. Best

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

James L. Baber

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

John M. Louis

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Annie Aniana

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jane Clarke

University of Cambridge

View shared research outputs
Top Co-Authors

Avatar

Emily J. Guinn

University of California

View shared research outputs
Top Co-Authors

Avatar

Mia Shin

University of California

View shared research outputs
Top Co-Authors

Avatar

Susan Marqusee

University of California

View shared research outputs
Top Co-Authors

Avatar

Travis Hoppe

National Institutes of Health

View shared research outputs
Researchain Logo
Decentralizing Knowledge