PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley +1 more source
Multilevel Analysis of Ground Beetle Responses to Forest Management: Integrating Species Composition, Morphological Traits and Developmental Instability. [PDF]
Stočes D, Šipoš J.
europepmc +1 more source
Existing evidence on the effect of urban forest management in carbon solutions and avian conservation: a systematic literature map. [PDF]
Hutt-Taylor K +4 more
europepmc +1 more source
The effects of environmental variability and forest management on natural forest carbon stock in northwestern Ethiopia. [PDF]
Kassaye M +6 more
europepmc +1 more source
Land use change and forest management effects on soil carbon stocks in the Northeast U.S. [PDF]
Nave LE +9 more
europepmc +1 more source
FSC-certified forest management benefits large mammals compared to non-FSC. [PDF]
Zwerts JA +8 more
europepmc +1 more source
Tree regeneration and ontogenetic strategies of northern European hemiboreal forests: transitioning towards closer-to-nature forest management. [PDF]
Petrokas R, Manton M, Kavaliauskas D.
europepmc +1 more source
Forest management planning as a function of forest management development in Slovenia
openaire +1 more source

