MDContactCom: a tool to identify differences of protein molecular dynamics from two MD simulation trajectories in terms of interresidue contacts

Abstract Summary Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool called MD Contact Comparison (MDContactCom) that compares residue-residue contact fluctuations of two MD trajectories, quantifies...

Full description

Saved in:
Bibliographic Details
Published inBioinformatics Vol. 38; no. 1; pp. 273 - 274
Main Authors Motono, Chie, Yanagida, Shunsuke, Sato, Miwa, Hirokawa, Takatsugu
Format Journal Article
LanguageEnglish
Published England Oxford University Press (OUP) 22.12.2021
Oxford University Press
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Abstract Summary Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool called MD Contact Comparison (MDContactCom) that compares residue-residue contact fluctuations of two MD trajectories, quantifies the differences, identifies sites that exhibit large differences and visualizes those sites on the protein structure. Using this method, it is possible to identify sites affected by varying simulation conditions and reveal the path of propagation of the effect even when differences between the 3D structure of the molecule and the fluctuation RMSF of each residue is unclear. MDContactCom can monitor differences in complex protein dynamics between two MD trajectories and identify candidate sites to be analyzed in more detail. As such, MDContactCom is a versatile software package for analyzing most MD simulations. Availability and implementation MDContactCom is freely available for download on GitLab. The software is implemented in Python3. https://gitlab.com/chiemotono/mdcontactcom. Supplementary information Supplementary data are available at Bioinformatics online.
AbstractList Abstract Summary Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool called MD Contact Comparison (MDContactCom) that compares residue-residue contact fluctuations of two MD trajectories, quantifies the differences, identifies sites that exhibit large differences and visualizes those sites on the protein structure. Using this method, it is possible to identify sites affected by varying simulation conditions and reveal the path of propagation of the effect even when differences between the 3D structure of the molecule and the fluctuation RMSF of each residue is unclear. MDContactCom can monitor differences in complex protein dynamics between two MD trajectories and identify candidate sites to be analyzed in more detail. As such, MDContactCom is a versatile software package for analyzing most MD simulations. Availability and implementation MDContactCom is freely available for download on GitLab. The software is implemented in Python3. https://gitlab.com/chiemotono/mdcontactcom. Supplementary information Supplementary data are available at Bioinformatics online.
Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool called MD Contact Comparison (MDContactCom) that compares residue-residue contact fluctuations of two MD trajectories, quantifies the differences, identifies sites that exhibit large differences and visualizes those sites on the protein structure. Using this method, it is possible to identify sites affected by varying simulation conditions and reveal the path of propagation of the effect even when differences between the 3D structure of the molecule and the fluctuation RMSF of each residue is unclear. MDContactCom can monitor differences in complex protein dynamics between two MD trajectories and identify candidate sites to be analyzed in more detail. As such, MDContactCom is a versatile software package for analyzing most MD simulations.SUMMARYComparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool called MD Contact Comparison (MDContactCom) that compares residue-residue contact fluctuations of two MD trajectories, quantifies the differences, identifies sites that exhibit large differences and visualizes those sites on the protein structure. Using this method, it is possible to identify sites affected by varying simulation conditions and reveal the path of propagation of the effect even when differences between the 3D structure of the molecule and the fluctuation RMSF of each residue is unclear. MDContactCom can monitor differences in complex protein dynamics between two MD trajectories and identify candidate sites to be analyzed in more detail. As such, MDContactCom is a versatile software package for analyzing most MD simulations.MDContactCom is freely available for download on GitLab. The software is implemented in Python3. https://gitlab.com/chiemotono/mdcontactcom.AVAILABILITY AND IMPLEMENTATIONMDContactCom is freely available for download on GitLab. The software is implemented in Python3. https://gitlab.com/chiemotono/mdcontactcom.Supplementary data are available at Bioinformatics online.SUPPLEMENTARY INFORMATIONSupplementary data are available at Bioinformatics online.
Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool called MD Contact Comparison (MDContactCom) that compares residue-residue contact fluctuations of two MD trajectories, quantifies the differences, identifies sites that exhibit large differences and visualizes those sites on the protein structure. Using this method, it is possible to identify sites affected by varying simulation conditions and reveal the path of propagation of the effect even when differences between the 3D structure of the molecule and the fluctuation RMSF of each residue is unclear. MDContactCom can monitor differences in complex protein dynamics between two MD trajectories and identify candidate sites to be analyzed in more detail. As such, MDContactCom is a versatile software package for analyzing most MD simulations. MDContactCom is freely available for download on GitLab. The software is implemented in Python3. https://gitlab.com/chiemotono/mdcontactcom. Supplementary data are available at Bioinformatics online.
Author Takatsugu Hirokawa
Miwa Sato
Chie Motono
Shunsuke Yanagida
AuthorAffiliation 2 Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), AIST, Waseda University , Tokyo 169-0072, Japan
4 Division of Biomedical Science, Faculty of Medicine, University of Tsukuba , Ibaraki 305-8575, Japan
1 Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) , Tokyo 135-0064, Japan
5 Transborder Medical Research Center, Faculty of Medicine, University of Tsukuba , Ibaraki 305-8575, Japan
3 Bioscience & Healthcare Engineering Division, DX Infrastructure Engineering Unit 1, Mitsui Knowledge Industry Co., Ltd, Tokyo 164-0003, Japan
AuthorAffiliation_xml – name: 3 Bioscience & Healthcare Engineering Division, DX Infrastructure Engineering Unit 1, Mitsui Knowledge Industry Co., Ltd, Tokyo 164-0003, Japan
– name: 4 Division of Biomedical Science, Faculty of Medicine, University of Tsukuba , Ibaraki 305-8575, Japan
– name: 2 Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), AIST, Waseda University , Tokyo 169-0072, Japan
– name: 1 Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) , Tokyo 135-0064, Japan
– name: 5 Transborder Medical Research Center, Faculty of Medicine, University of Tsukuba , Ibaraki 305-8575, Japan
Author_xml – sequence: 1
  givenname: Chie
  surname: Motono
  fullname: Motono, Chie
  email: c-motono@aist.go.jp
  organization: Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 135-0064, Japan
– sequence: 2
  givenname: Shunsuke
  surname: Yanagida
  fullname: Yanagida, Shunsuke
  organization: Bioscience & Healthcare Engineering Division, DX Infrastructure Engineering Unit 1, Mitsui Knowledge Industry Co., Ltd, Tokyo 164-0003, Japan
– sequence: 3
  givenname: Miwa
  surname: Sato
  fullname: Sato, Miwa
  organization: Bioscience & Healthcare Engineering Division, DX Infrastructure Engineering Unit 1, Mitsui Knowledge Industry Co., Ltd, Tokyo 164-0003, Japan
– sequence: 4
  givenname: Takatsugu
  surname: Hirokawa
  fullname: Hirokawa, Takatsugu
  email: t-hirokawa@md.tsukuba.ac.jp
  organization: Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 135-0064, Japan
BackLink https://cir.nii.ac.jp/crid/1873398392394594304$$DView record in CiNii
https://www.ncbi.nlm.nih.gov/pubmed/34289011$$D View this record in MEDLINE/PubMed
BookMark eNqNUcluFDEQtVAQWcgvRD5w4DKJ114QQkITNikRFzhbbncZCnXbg-0GzV_wyTiZSUS4wKVcUtVbXO-YHIQYgJAzzs456-XFgBGDj2m2BV2-GIodtOwekSMum3alOs4P7nsmD8lpzjgw1mjVaiWfkEOpRNczzo_Ir-vLdQzFurKO8wtqaYlxqoXiCKGg39IRvYcEwUGm0dNNigUw0DlO4JbJJjpug52rD-pTnGn5Gen1Jc0412HBGGhJ9hu4EhNWhooskOZbKgy1TZBxXIC6nYv8lDz2dspwun9PyOe3bz6t36-uPr77sH59tXJa87JynddtKy30AngDuldjN_pWiFEwoVsP0nkGHtgwgOrZ2AjtRcusbfrBDiDlCXm1490swwyjq79NdjKbhLNNWxMtmoeTgF_Nl_jDdE3fcK4qwfM9QYrfF8jFzJgdTJMNEJdshK631ko1oq6e_al1L3IXQ114uVtwKeacwBuH5fZ6VRonw5m5Cd48DN7sg6_w5i_4ncI_gXwHjMvm_zHPdpiAWG3eVN61Uvad7IXsVY1CMiV_AyIT26w
CitedBy_id crossref_primary_10_1002_cplu_202300568
crossref_primary_10_1186_s13321_024_00822_3
Cites_doi 10.1016/0301-0104(91)87082-7
10.1063/5.0014475
10.1016/j.softx.2015.06.001
10.1016/j.str.2016.12.003
10.1371/journal.pcbi.1002704
10.1093/bioinformatics/btn432
10.1073/pnas.1523573113
10.1016/j.bpj.2018.01.033
10.1021/acs.jcim.9b00426
10.1063/1.4961227
10.1093/bioinformatics/btn115
10.1002/jcc.21287
10.1109/SC.2006.54
ContentType Journal Article
Copyright The Author(s) 2021. Published by Oxford University Press. 2021
The Author(s) 2021. Published by Oxford University Press.
Copyright_xml – notice: The Author(s) 2021. Published by Oxford University Press. 2021
– notice: The Author(s) 2021. Published by Oxford University Press.
DBID RYH
TOX
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
DOI 10.1093/bioinformatics/btab538
DatabaseName CiNii Complete
Oxford Journals Open Access Collection
CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList
MEDLINE - Academic
MEDLINE
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 3
  dbid: TOX
  name: Oxford Journals Open Access (Activated by CARLI)
  url: https://academic.oup.com/journals/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Biology
EISSN 1367-4811
1460-2059
EndPage 274
ExternalDocumentID PMC8696114
34289011
10_1093_bioinformatics_btab538
10.1093/bioinformatics/btab538
Genre Research Support, Non-U.S. Gov't
Journal Article
GrantInformation_xml – fundername: Basis for Supporting Innovative Drug Discovery and Life Science Research (BINDS)
– fundername: Japan Agency for Medical Research and Development (AMED)
  grantid: JP18am0101114
– fundername: ;
– fundername: ;
  grantid: JP18am0101114
GroupedDBID ---
-E4
-~X
.2P
.DC
.I3
0R~
23N
2WC
4.4
48X
53G
5GY
5WA
70D
AAIJN
AAIMJ
AAJKP
AAKPC
AAMDB
AAMVS
AAOGV
AAPQZ
AAPXW
AAVAP
AAVLN
ABEJV
ABEUO
ABGNP
ABIXL
ABNKS
ABPQP
ABPTD
ABQLI
ABWST
ABXVV
ABZBJ
ACGFS
ACIWK
ACPRK
ACUFI
ACUXJ
ACYTK
ADBBV
ADEYI
ADEZT
ADFTL
ADGKP
ADGZP
ADHKW
ADHZD
ADMLS
ADOCK
ADPDF
ADRDM
ADRTK
ADVEK
ADYVW
ADZTZ
ADZXQ
AECKG
AEGPL
AEJOX
AEKKA
AEKSI
AELWJ
AEMDU
AENEX
AENZO
AEPUE
AETBJ
AEWNT
AFFZL
AFGWE
AFIYH
AFOFC
AFRAH
AGINJ
AGKEF
AGSYK
AHMBA
AHXPO
AIJHB
AJEEA
AJEUX
AKHUL
AKWXX
ALMA_UNASSIGNED_HOLDINGS
ALTZX
ALUQC
AMNDL
APIBT
APWMN
ARIXL
ASPBG
AVWKF
AXUDD
AYOIW
AZVOD
BAWUL
BAYMD
BHONS
BQDIO
BQUQU
BSWAC
BTQHN
C45
CDBKE
CS3
CZ4
DAKXR
DIK
DILTD
DU5
D~K
EBD
EBS
EE~
EMOBN
F5P
F9B
FEDTE
FHSFR
FLIZI
FLUFQ
FOEOM
FQBLK
GAUVT
GJXCC
GROUPED_DOAJ
GX1
H13
H5~
HAR
HW0
HZ~
IOX
J21
JXSIZ
KAQDR
KOP
KQ8
KSI
KSN
M-Z
MK~
ML0
N9A
NGC
NLBLG
NMDNZ
NOMLY
NU-
O9-
OAWHX
ODMLO
OJQWA
OK1
OVD
OVEED
P2P
PAFKI
PEELM
PQQKQ
Q1.
Q5Y
R44
RD5
RNS
ROL
RPM
RUSNO
RW1
RXO
RYH
SV3
TEORI
TJP
TLC
TOX
TR2
W8F
WOQ
X7H
YAYTL
YKOAZ
YXANX
ZKX
~91
~KM
482
6.Y
AARHZ
ABEFU
ABSAR
ABSMQ
ACMRT
ACPQN
ADRIX
AEKPW
AFFNX
AFSHK
AFXEN
AGKRT
AGQXC
AI.
AQDSO
ASAOO
ATDFG
ATTQO
AZFZN
BCRHZ
CXTWN
DFGAJ
ELUNK
HVGLF
MBTAY
MVM
PB-
QBD
RIG
ROX
ROZ
TCN
TN5
VH1
WH7
XJT
ZGI
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
ID FETCH-LOGICAL-c551t-c8f5773ae92e16e594d8df722d20257fe3cf0efe0bbe490d625f270aa69babe33
IEDL.DBID TOX
ISSN 1367-4803
1367-4811
IngestDate Thu Aug 21 17:49:03 EDT 2025
Fri Jul 11 00:25:42 EDT 2025
Mon Jul 21 06:03:31 EDT 2025
Thu Apr 24 22:54:36 EDT 2025
Tue Jul 01 02:33:56 EDT 2025
Wed Aug 28 03:17:02 EDT 2024
Thu Jun 26 23:05:56 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
License This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
https://creativecommons.org/licenses/by-nc/4.0
The Author(s) 2021. Published by Oxford University Press.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c551t-c8f5773ae92e16e594d8df722d20257fe3cf0efe0bbe490d625f270aa69babe33
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
OpenAccessLink https://dx.doi.org/10.1093/bioinformatics/btab538
PMID 34289011
PQID 2554354462
PQPubID 23479
PageCount 2
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_8696114
proquest_miscellaneous_2554354462
pubmed_primary_34289011
crossref_citationtrail_10_1093_bioinformatics_btab538
crossref_primary_10_1093_bioinformatics_btab538
oup_primary_10_1093_bioinformatics_btab538
nii_cinii_1873398392394594304
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2021-12-22
PublicationDateYYYYMMDD 2021-12-22
PublicationDate_xml – month: 12
  year: 2021
  text: 2021-12-22
  day: 22
PublicationDecade 2020
PublicationPlace England
PublicationPlace_xml – name: England
PublicationTitle Bioinformatics
PublicationTitleAlternate Bioinformatics
PublicationYear 2021
Publisher Oxford University Press (OUP)
Oxford University Press
Publisher_xml – name: Oxford University Press (OUP)
– name: Oxford University Press
References Tsuchiya (2023020108394105500_btab538-B13) 2019; 59
Brooks (2023020108394105500_btab538-B2) 2009; 30
Kitao (2023020108394105500_btab538-B6) 1991; 158
Pulim (2023020108394105500_btab538-B10) 2008; 24
Peters (2023020108394105500_btab538-B8) 2012; 8
Mercadante (2023020108394105500_btab538-B7) 2018; 114
Abraham (2023020108394105500_btab538-B1) 2015; 1-2
Vassura (2023020108394105500_btab538-B14) 2008; 24
Bowers (2023020108394105500_btab538-B152) 2006
Holliday (2023020108394105500_btab538-B5) 2017; 25
Sakuraba (2023020108394105500_btab538-B11) 2016; 145
Doshi (2023020108394105500_btab538-B4) 2016; 113
Case (2023020108394105500_btab538-B3) 2021
Phillips (2023020108394105500_btab538-B9) 2020; 153
References_xml – volume: 158
  start-page: 447
  year: 1991
  ident: 2023020108394105500_btab538-B6
  article-title: The effects of solvent on the conformation and the collective motions of protein: normal mode analysis and molecular dynamics simulations of melittin in water and in vacuum
  publication-title: Chem. Phys
  doi: 10.1016/0301-0104(91)87082-7
– volume: 153
  start-page: 044130
  year: 2020
  ident: 2023020108394105500_btab538-B9
  article-title: Scalable molecular dynamics on CPU and GPU architectures with NAMD
  publication-title: J. Chem. Phys
  doi: 10.1063/5.0014475
– volume: 1-2
  start-page: 19
  year: 2015
  ident: 2023020108394105500_btab538-B1
  article-title: Gromacs: high performance molecular simulations through multi-level parallelism from laptops to supercomputers
  publication-title: SoftwareX
  doi: 10.1016/j.softx.2015.06.001
– volume: 25
  start-page: 276
  year: 2017
  ident: 2023020108394105500_btab538-B5
  article-title: Networks of dynamic allostery regulate enzyme function
  publication-title: Structure
  doi: 10.1016/j.str.2016.12.003
– volume: 8
  start-page: e1002704
  year: 2012
  ident: 2023020108394105500_btab538-B8
  article-title: Ubiquitin dynamics in complexes reveal molecular recognition mechanisms beyond induced fit and conformational selection
  publication-title: PLoS Comput. Biol
  doi: 10.1371/journal.pcbi.1002704
– year: 2021
  ident: 2023020108394105500_btab538-B3
– volume: 24
  start-page: 2324
  year: 2008
  ident: 2023020108394105500_btab538-B10
  article-title: Optimal contact map alignment of protein-protein interfaces
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btn432
– volume: 113
  start-page: 4735
  year: 2016
  ident: 2023020108394105500_btab538-B4
  article-title: Dynamical network of residue–residue contacts reveals coupled allosteric effects in recognition, catalysis, and mutation
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.1523573113
– volume: 114
  start-page: 1267
  year: 2018
  ident: 2023020108394105500_btab538-B7
  article-title: CONAN: A tool to decode dynamical information from molecular interaction maps
  publication-title: Biophys. J
  doi: 10.1016/j.bpj.2018.01.033
– volume: 59
  start-page: 4043
  year: 2019
  ident: 2023020108394105500_btab538-B13
  article-title: Autoencoder-based detection of dynamic allostery triggered by ligand binding based on molecular dynamics
  publication-title: J. Chem. Inf. Model
  doi: 10.1021/acs.jcim.9b00426
– volume: 145
  start-page: 074116
  year: 2016
  ident: 2023020108394105500_btab538-B11
  article-title: Spotting the difference in molecular dynamics simulations of biomolecules
  publication-title: J. Chem. Phys
  doi: 10.1063/1.4961227
– volume: 24
  start-page: 1313
  year: 2008
  ident: 2023020108394105500_btab538-B14
  article-title: FT-COMAR: fault tolerant three-dimensional structure reconstruction from protein contact maps
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btn115
– volume: 30
  start-page: 1545
  year: 2009
  ident: 2023020108394105500_btab538-B2
  article-title: CHARMM: the biomolecular simulation program
  publication-title: J. Comput. Chem
  doi: 10.1002/jcc.21287
– year: 2006
  ident: 2023020108394105500_btab538-B152
  article-title: Scalable algorithms for molecular dynamics simulations on commodity clusters
  doi: 10.1109/SC.2006.54
SSID ssib006547543
ssib045029961
ssib006547544
ssib006547545
ssib054421644
ssib058492368
ssj0005056
ssib005908216
ssib019758752
ssj0051444
Score 2.3956614
Snippet Abstract Summary Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We...
Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool...
SourceID pubmedcentral
proquest
pubmed
crossref
oup
nii
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 273
SubjectTerms Applications Notes
Molecular Dynamics Simulation
Proteins
Proteins - chemistry
Software
Title MDContactCom: a tool to identify differences of protein molecular dynamics from two MD simulation trajectories in terms of interresidue contacts
URI https://cir.nii.ac.jp/crid/1873398392394594304
https://www.ncbi.nlm.nih.gov/pubmed/34289011
https://www.proquest.com/docview/2554354462
https://pubmed.ncbi.nlm.nih.gov/PMC8696114
Volume 38
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1La9wwEB6SQKGXkrRp6zQJCvQUMCtL8qu3kAehsOklgb0ZyR5Rl8QuXS8hl_yG_OSMLHubXShtLwZjSxYaPb6xZr4P4HOZGBVHRocxIoYqVVloNFchotAi0igM9gGyV8nljfo6i2cbEI25MOtH-LmcmLodSEQdcfHEdNrQLKVVl3Zix5Z__W32O6iDO2oYf0NQQHlNW0ftnXE5Jgj_sc6VvWmzqeu1rLcX4HM9hvLFpnSxDW8GNMlOvPl3YAObt_DK60s-vIOn6Zljn9JlR9P-C9Osa9tburC6T8-1D2zUR6HVgrWW9awNdcPuRtFcVnnF-jlzeSisu2_Z9IzN67tB9YtRq370P_7J42ZU0q30fVWOh8IJf9TVAlnpWzHfhZuL8-vTy3CQYAhLglJdWGY2TlOpMRcYJUgdXmWVTYWoBIGl1KIsLUeL3BhUOa_Im7Ii5VonudEGpXwPW03b4EdguRJoyR-xvDQqQepwbqsqkRbJZSOgGUA8dn5RDvzkTibjtvDn5LJYNVoxGC2AybLcT8_Q8dcSB2Rb-oi7RlkqZe5gosxV7MjoVQDHZPV_ruxoHBwFzUx33KIbbBfzgpw1wqLkbosAPvjBsqxTKnfAG0UBpCvDaPmCY_1efdLU33v27yzJE3Ji9_6nkZ_gtXCxOJEIhdiHre7XAg8ITHXmEDanj-eH_Sx6BmxwJk4
linkProvider Oxford University Press
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=MDContactCom%3A+a+tool+to+identify+differences+of+protein+molecular+dynamics+from+two+MD+simulation+trajectories+in+terms+of+interresidue+contacts&rft.jtitle=Bioinformatics&rft.au=Miwa+Sato&rft.au=Chie+Motono&rft.au=Takatsugu+Hirokawa&rft.au=Shunsuke+Yanagida&rft.date=2021-12-22&rft.pub=Oxford+University+Press+%28OUP%29&rft.issn=1367-4803&rft.eissn=1367-4811&rft.volume=38&rft.spage=273&rft.epage=274&rft_id=info:doi/10.1093%2Fbioinformatics%2Fbtab538
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1367-4803&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1367-4803&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1367-4803&client=summon