Advancing Deep Science & Technology
The Deep Science and Technology Consortium (DSTC) is an international scholarly publishing platform published by Quantum Science and Technology Pvt Ltd (Founder & CEO: Payal Chauhan). Operating with the operational rigor of leading publishers like Elsevier and MDPI, DSTC hosts a portfolio of peer-reviewed scholarly journals charging zero Article Processing Charges ($0 APC / Diamond Open Access). Every submission undergoes rigorous double-anonymized peer review by independent experts, with all accepted manuscripts published under a Gold Open Access (CC-BY 4.0) license.
Latest Published Articles
View Archives →Graph Neural Networks and Diffusion Models for De Novo Structural Protein Design and Crop Pathogen Resistance
Abstract: Computational protein engineering has been revolutionized by geometric deep learning and denoising score-based diffusion models. In this research, we introduce ProtDiff-Graph, an SE(3)-equivariant graph neural network integrated with continuous-space diffusion for de novo generation of high-affinity crop pathogen receptor binders... [...] Read more.
Join the JDSTC Editorial & Reviewer Board
Apply to serve as an Editor, Section Lead, or Peer Reviewer for the Journal of the Deep Science and Technology Consortium.