scispace - formally typeset
V

Vladimir Potapov

Researcher at New England Biolabs

Publications -  38
Citations -  1567

Vladimir Potapov is an academic researcher from New England Biolabs. The author has contributed to research in topics: DNA & Protein structure. The author has an hindex of 14, co-authored 33 publications receiving 1238 citations. Previous affiliations of Vladimir Potapov include Massachusetts Institute of Technology & Weizmann Institute of Science.

Papers
More filters
Journal ArticleDOI

Assessing computational methods for predicting protein stability upon mutation: good on average but not in the details.

TL;DR: Six different methods that were previously reported as being able to predict the change in protein stability (DeltaDeltaG) upon mutation are chosen: CC/PBSA, EGAD, FoldX, I-Mutant2.0, Rosetta and Hunter, and there is still room for improvement, which is crucial if the authors want forcefields to perform better in their various tasks.
Journal ArticleDOI

Examining Sources of Error in PCR by Single-Molecule Sequencing.

TL;DR: A single-molecule sequencing assay was used to comprehensively catalog the different types of errors introduced during PCR, including polymerase misincorporation, structure-induced template-switching, PCR-mediated recombination and DNA damage.
Journal ArticleDOI

Community-wide assessment of protein-interface modeling suggests improvements to design methodology

Sarel J. Fleishman, +97 more
TL;DR: A number of designed protein-protein interfaces with very favorable computed binding energies but which do not appear to be formed in experiments are generated, suggesting that there may be important physical chemistry missing in the energy calculations.
Journal ArticleDOI

The limit of accuracy of protein modeling: influence of crystal packing on protein structure.

TL;DR: A clear influence of crystal environment on protein structure, including backbone conformations, hinge-like motions and side-chain conformations is demonstrated, and a practical limit to the accuracy of protein modeling is derived.
Journal ArticleDOI

SPACE: a suite of tools for protein structure prediction and analysis based on complementarity and environment

TL;DR: A suite of SPACE tools for analysis and prediction of structures of biomolecules and their complexes and includes servers and programs for structural analysis of point mutations (MutaProt), side chain modeling based on surface complementarity (SCCOMP), and construction and analysis of protein contact maps (CMA) and molecular docking software (LIGIN).