Proteinsync: a multi-agent planning framework for distributed molecular dynamics simulation with adaptive load rebalancing

Tureniyazova , Asiya, Sarsenbaeva , Hurlixa

Techscience.uz - техника фанлари долзарб масалалри · 2026-yil

Annotatsiya

At the intersection of bioinformatics and multi-agent systems (MAS), the ProteinSync framework is proposed for distributed molecular dynamics simulation of proteins. Computational agents dynamically redistribute atomic domains based on local computational load, reducing protein folding simulation time by 41% compared to OpenMM [4] on the same hardware budget.

Maqola ma’lumotlari
MualliflarTureniyazova , Asiya, Sarsenbaeva , Hurlixa
JurnalTechscience.uz - техника фанлари долзарб масалалри
NashriyotЖиззах политехника институти
ISSN3030-3702, 3030-3702
Nashr sanasi2026-04-25
Jild4
Son4
Betlar29-34
TilIngliz
Ilmiy sohaTexnika
DOI10.47390/ts-v4i4y2026n04
Indeksga qo‘shilgan2026-08-26

DOI: 10.47390/ts-v4i4y2026n04 · Maqolaning asl sahifasi

Kalit so‘zlar

molecular dynamics, multi-agent systems, distributed computing, load balancing, bioinformatics, protein modeling, MAS, ProteinSync., молекулярная динамика, мультиагентные системы, распределённые вычисления, балансировка нагрузки, биоинформатика, моделирование белков, MAS, ProteinSync.

Ilmiy soha

Texnika

Iqtibos keltirish

APATureniyazova , Asiya, & Sarsenbaeva , Hurlixa (2026). PROTEINSYNC: A MULTI-AGENT PLANNING FRAMEWORK FOR DISTRIBUTED MOLECULAR DYNAMICS SIMULATION WITH ADAPTIVE LOAD REBALANCING. Techscience.uz - техника фанлари долзарб масалалри, 4(4), 29-34. https://doi.org/10.47390/ts-v4i4y2026n04
GOST (OAK)Tureniyazova , Asiya, Sarsenbaeva , Hurlixa PROTEINSYNC: A MULTI-AGENT PLANNING FRAMEWORK FOR DISTRIBUTED MOLECULAR DYNAMICS SIMULATION WITH ADAPTIVE LOAD REBALANCING // Techscience.uz - техника фанлари долзарб масалалри. – 2026. – T. 4, № 4. – P. 29-34. – DOI: 10.47390/ts-v4i4y2026n04.
MLATureniyazova , Asiya, and Sarsenbaeva , Hurlixa. “PROTEINSYNC: A MULTI-AGENT PLANNING FRAMEWORK FOR DISTRIBUTED MOLECULAR DYNAMICS SIMULATION WITH ADAPTIVE LOAD REBALANCING.” Techscience.uz - техника фанлари долзарб масалалри, 4(4), 29-34, 2026. https://doi.org/10.47390/ts-v4i4y2026n04
ChicagoTureniyazova , Asiya, and Sarsenbaeva , Hurlixa. “PROTEINSYNC: A MULTI-AGENT PLANNING FRAMEWORK FOR DISTRIBUTED MOLECULAR DYNAMICS SIMULATION WITH ADAPTIVE LOAD REBALANCING.” Techscience.uz - техника фанлари долзарб масалалри, 4(4), 29-34 (2026). https://doi.org/10.47390/ts-v4i4y2026n04
HarvardTureniyazova , Asiya, and Sarsenbaeva , Hurlixa (2026) ‘PROTEINSYNC: A MULTI-AGENT PLANNING FRAMEWORK FOR DISTRIBUTED MOLECULAR DYNAMICS SIMULATION WITH ADAPTIVE LOAD REBALANCING’, Techscience.uz - техника фанлари долзарб масалалри, 4(4), 29-34. https://doi.org/10.47390/ts-v4i4y2026n04
BibTeX
@article{tureniyazovaasiya2026,
  title = {PROTEINSYNC: A MULTI-AGENT PLANNING FRAMEWORK FOR DISTRIBUTED MOLECULAR DYNAMICS SIMULATION WITH ADAPTIVE LOAD REBALANCING},
  author = {Tureniyazova , Asiya and Sarsenbaeva , Hurlixa},
  journal = {Techscience.uz - техника фанлари долзарб масалалри},
  year = {2026},
  volume = {4},
  number = {4},
  pages = {29-34},
  doi = {10.47390/ts-v4i4y2026n04},
  url = {https://doi.org/10.47390/ts-v4i4y2026n04}
}

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