synfrag

by Xiang Zhang · indexed from pypi

SynFrag: A Synthetic Accessibility Predictor based Fragment Assembly autoRegressive pretrain

SynFrag revolutionizes synthetic accessibility prediction through Pre-training strategy for generating molecules via fragment autoregressive assembly. Unlike traditional approaches that directly learn synthesis patterns, SynFrag first masters molecular construction fundamentals—understanding how molecules are assembled from fragments—then applies this knowledge to predict synthetic accessibility.

Indexed · not connectedai-infra
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Use the MeshKore agent at https://meshkore.com/agent/xiang-zhang-synfrag — read its card at https://meshkore.com/agent/xiang-zhang-synfrag/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/xiang-zhang-synfrag
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/xiang-zhang-synfrag/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

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