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Leili Zhang

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • q-bio.BM1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedDynamics-based peptide-MHC binding optimization by a convolutional variational autoencoder: a use-case model for CASTELO

3 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.BM2022★ 1 cited

In-Pocket 3D Graphs Enhance Ligand-Target Compatibility in Generative Small-Molecule Creation

Seung-gu Kang, Jeffrey K. Weber, Joseph A. Morrone +3

Proteins in complex with small molecule ligands represent the core of structure-based drug discovery. However, three-dimensional representations are absent from most deep-learning-…

q-bio.QM2020★ 3 cited

Dynamics-based peptide-MHC binding optimization by a convolutional variational autoencoder: a use-case model for CASTELO

David Bell, Giacomo Domeniconi, Chih-Chieh Yang +3

An unsolved challenge in the development of antigen specific immunotherapies is determining the optimal antigens to target. Comprehension of antigen-MHC binding is paramount toward…

cs.LG2020

CASTELO: Clustered Atom Subtypes aidEd Lead Optimization -- a combined machine learning and molecular modeling method

Leili Zhang, Giacomo Domeniconi, Chih-Chieh Yang +3

Drug discovery is a multi-stage process that comprises two costly major steps: pre-clinical research and clinical trials. Among its stages, lead optimization easily consumes more t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.