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Snehalika Lall

1 paper hereh-index 8242 citations22 works total

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

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • q-bio.MN1

identity via Semantic Scholar / OpenAlex

most citedPredicting potential drug targets and repurposable drugs for COVID-19 via a deep generative model for graphs

11 citations · 11 across the 1 of their papers we have counts for

collaborators

1 paper

q-bio.MN2020★ 11 cited

Predicting potential drug targets and repurposable drugs for COVID-19 via a deep generative model for graphs

Sumanta Ray, Snehalika Lall, Anirban Mukhopadhyay +2

Coronavirus Disease 2019 (COVID-19) has been creating a worldwide pandemic situation. Repurposing drugs, already shown to be free of harmful side effects, for the treatment of COVI…

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