https://github.com/batoolmm/evi1-dnmt3

Molecular dynamics study for the interaction between EVI1-DNMT3

https://github.com/batoolmm/evi1-dnmt3

Science Score: 33.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: acs.org
  • Committers with academic emails
    1 of 4 committers (25.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.3%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Molecular dynamics study for the interaction between EVI1-DNMT3

Basic Info
  • Host: GitHub
  • Owner: BatoolMM
  • Language: PostScript
  • Default Branch: main
  • Size: 47.6 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 4 years ago · Last pushed over 4 years ago
Metadata Files
Readme

README.md

EVI1-DNMT3

Molecular dynamics study for the interaction between EVI1-DNMT3

Creating the DNMT3 Structure

We used AlphaFold for accuracy > 70

Extracted residues 474-912

select st, b > 70

select st, i. 474-912

Saved it and manipulated in PyMOL as PDBx/mmCIF

  • Write connect reords for all bonds

  • Retain segment identifier and atoms ids

  • Write HEADER for every object

Force Field

We used CHARMM36 force field and changed all the setting in the .mdp files to mach the CHARMM36 settings.

constraints = h-bonds cutoff-scheme = Verlet vdwtype = cutoff vdw-modifier = force-switch rlist = 1.2 rvdw = 1.2 rvdw-switch = 1.0 coulombtype = PME rcoulomb = 1.2 DispCorr = no

Added SEP in residuetype.dat and changed CAL to CL in ions.itp

The advantages of CHARMM36 force field is that it was recently optimised to include functional groups such as phosphorylation. Other force fields can be modified as here and here.

Owner

  • Name: Batool Almarzouq
  • Login: BatoolMM
  • Kind: user
  • Company: University of Liverpool, Alan Turing Institute

Ph.D. in Biochemistry. Experience in cancer bioinformatics, RNA-Seq, network biology, pathway enrichment, and integrated –omics analyses, Docker, HPC (She/her).

GitHub Events

Total
Last Year

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 39
  • Total Committers: 4
  • Avg Commits per committer: 9.75
  • Development Distribution Score (DDS): 0.282
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
BatoolMM b****l@l****k 28
Batool m@M****l 6
Batool Almarzouq b****l@l****k 4
Batool Almarzouq b****l@v****k 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels