---
OA_type: closed access
_id: '886'
abstract:
- lang: eng
  text: The factors that determine the tempo and mode of protein evolution continue
    to be a central question in molecular evolution. Traditionally, studies of protein
    evolution focused on the rates of amino acid substitutions. More recently, with
    the availability of sequence data and advanced experimental techniques, the focus
    of attention has shifted toward the study of evolutionary trajectories and the
    overall layout of protein fitness landscapes. In this review we describe the effect
    of epistasis on the topology of evolutionary pathways that are likely to be found
    in fitness landscapes and develop a simple theory to connect the number of maladapted
    genotypes to the topology of fitness landscapes with epistatic interactions. Finally,
    we review recent studies that have probed the extent of epistatic interactions
    and have begun to chart the fitness landscapes in protein sequence space.
acknowledgement: 'This work has been supported by a grant from the HHMI International
  Early Career Scientist Program (#55007424), the Spanish Ministry of Economy and
  Competitiveness (grant #BFU2012-31329) as part of the EMBO YIP program, two grants
  from the Spanish Ministry of Economy and Competitiveness, Centro de Excelencia Severo
  Ochoa 2013–2017 (#Sev-2012-0208) and BES-2013-064004 funded by the European Regional
  Development Fund (ERDF), the European Union, and the European Research Council under
  grant agreement no 335980_EinME.'
article_processing_charge: No
article_type: original
author:
- first_name: Dmitry
  full_name: Kondrashov, Dmitry
  last_name: Kondrashov
- first_name: Fyodor
  full_name: Kondrashov, Fyodor
  id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
  last_name: Kondrashov
  orcid: 0000-0001-8243-4694
citation:
  ama: Kondrashov D, Kondrashov F. Topological features of rugged fitness landscapes
    in sequence space. <i>Trends in Genetics</i>. 2015;31(1):24-33. doi:<a href="https://doi.org/10.1016/j.tig.2014.09.009">10.1016/j.tig.2014.09.009</a>
  apa: Kondrashov, D., &#38; Kondrashov, F. (2015). Topological features of rugged
    fitness landscapes in sequence space. <i>Trends in Genetics</i>. Elsevier. <a
    href="https://doi.org/10.1016/j.tig.2014.09.009">https://doi.org/10.1016/j.tig.2014.09.009</a>
  chicago: Kondrashov, Dmitry, and Fyodor Kondrashov. “Topological Features of Rugged
    Fitness Landscapes in Sequence Space.” <i>Trends in Genetics</i>. Elsevier, 2015.
    <a href="https://doi.org/10.1016/j.tig.2014.09.009">https://doi.org/10.1016/j.tig.2014.09.009</a>.
  ieee: D. Kondrashov and F. Kondrashov, “Topological features of rugged fitness landscapes
    in sequence space,” <i>Trends in Genetics</i>, vol. 31, no. 1. Elsevier, pp. 24–33,
    2015.
  ista: Kondrashov D, Kondrashov F. 2015. Topological features of rugged fitness landscapes
    in sequence space. Trends in Genetics. 31(1), 24–33.
  mla: Kondrashov, Dmitry, and Fyodor Kondrashov. “Topological Features of Rugged
    Fitness Landscapes in Sequence Space.” <i>Trends in Genetics</i>, vol. 31, no.
    1, Elsevier, 2015, pp. 24–33, doi:<a href="https://doi.org/10.1016/j.tig.2014.09.009">10.1016/j.tig.2014.09.009</a>.
  short: D. Kondrashov, F. Kondrashov, Trends in Genetics 31 (2015) 24–33.
date_created: 2018-12-11T11:49:01Z
date_published: 2015-01-01T00:00:00Z
date_updated: 2026-05-19T07:23:54Z
day: '01'
doi: 10.1016/j.tig.2014.09.009
extern: '1'
external_id:
  pmid:
  - '25438718'
fulldoi: https://doi.org/10.1016/j.tig.2014.09.009
intvolume: '        31'
issue: '1'
keyword:
- Mimsatch repair
- Chromatin structure
- Replication fork
- Cancer therapy
language:
- iso: eng
month: '01'
oa_version: None
page: 24 - 33
pmid: 1
publication: Trends in Genetics
publication_identifier:
  eissn:
  - 1362-4555
  issn:
  - 0168-9525
publication_status: published
publisher: Elsevier
publist_id: '6764'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Topological features of rugged fitness landscapes in sequence space
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 31
year: '2015'
...