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repo for DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model

Jupyter Notebook · active 2024-04-192026-05-24 (UTC)

Partial coverage16,296 / 20,475 hourly files (80%) · 2 absent upstream · 4,179 failed, retryable2024-04-102026-08-12 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
163
Pushes
1
Pull requests
1
Issues
23
Stars
91
Forks
22

Activity over time

Daily event counts in the loaded window

Line chart, 766 days from 2024-04-19 to 2026-05-24. Pushes: 1 total, peak 1 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 23 total, peak 2 in a day. Comments: 25 total, peak 3 in a day. Stars: 91 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Recent activity

Latest issues, pull requests and releases

  • Pull request#58dbh25-10120-cloud2025-12-23 09:36
  • Issue comment#22CLG682025-06-12 21:09
    problem: No compatible CUDA device is available
  • Issue#22CLG682025-06-12 21:09
    problem: No compatible CUDA device is available
  • Issue comment#22cureheavy2025-06-12 21:00
    problem: No compatible CUDA device is available
  • Issue comment#22cureheavy2025-06-12 19:54
    problem: No compatible CUDA device is available
  • Issue comment#41cureheavy2025-05-29 22:21
    ValueError: Encountered valid chain id that was not present in the LM embeddings
  • Issue#54rjrich2025-05-03 21:21
    Disconnected Residues in Non-Relaxed Receptor PDB Output
  • Issue comment#45rjrich2025-04-27 14:01
    Is there a way to keep one cofactor in the protein structure and dock another ligand to it?
  • Issue#50diaoyitan2025-04-19 08:47
    RuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory
  • Issue#49wh2772025-04-05 13:22
    some SSMILES loading failed
  • Issue#47wh2772025-04-03 05:41
    Issue with multi-GPU processing
  • Issue#46wh2772025-04-03 05:38
    Issue with multi-GPU processing
  • Issue#45Yang-Wang-20202025-02-20 00:41
    Is there a way to keep one cofactor in the protein structure and dock another ligand to it?
  • Issue comment#44patjiang2025-01-10 22:22
    Compare affinity scores for different proteins
  • Issue#44MaximePolicarpo2025-01-08 07:53
    Compare affinity scores for different proteins
  • Issue#43Kimi-Dai2025-01-07 03:17
    LM embeddings for complex did not have the right length for the protein
  • Issue comment#38Kimi-Dai2025-01-07 03:14
    LM embeddings for complex did not have the right length for the protein
  • Issue comment#42patjiang2024-12-20 04:27
    How to Perform Protein-Protein Docking?
  • Issue comment#36aTMRz2024-12-06 03:58
    Files for split_train, split_valid, and split_test arguments
  • Issue#401241892024-11-29 02:36
    how to get the rmsd?
  • Issue#38liyue91292024-11-29 01:44
    LM embeddings for complex did not have the right length for the protein
  • Issue comment#38liyue91292024-11-29 01:44
    LM embeddings for complex did not have the right length for the protein
  • Issue comment#38liyue91292024-11-28 02:26
    LM embeddings for complex did not have the right length for the protein
  • Issue comment#38liyue91292024-11-16 02:10
    LM embeddings for complex did not have the right length for the protein
  • Issue comment#37patjiang2024-10-26 21:28
    Same protein, same substrate, but with different affinities in docking results

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 91 stars here means stars gained during the window, not the repo's star count.