Results 171 to 180 of about 949,125 (312)

NToxSEM: Enhancing prediction of neurotoxic peptides and neurotoxins using a stacked ensemble-based multimodal framework. [PDF]

Protein Sci
Shoombuatong W, Schaduangrat N, Mahmud SMH, Ahmed S.   +3 more
europepmc   +1 more source

Els Liposomes com a model de membrana

, 1985
Tesi de Llicenciatura per a la obtenció del Grau de Farmàcia. Facultat de Farmàcia. Universitat de Barcelona. Director: Serafín García Fernández; Ma. Asunción Alsina Esteller. 1985.
openaire   +1 more source

Programming the Optoelectronic Properties of Atomically Precise Gold Nanoclusters Using the Conformational Landscape of Intrinsically Disordered Proteins

Chemistry – A European Journal, EarlyView.
ABSTRACT The rational design of hybrid nanomaterials with precisely controlled properties remains a central challenge in materials science. While atomically precise gold nanoclusters (Au‐NCs) offer molecule‐like control over a metallic core, tuning their optoelectronic behavior via surface engineering is often empirically driven.
Santiago Rodriguez, Sylvain Kumanski, Zeineb Ayed, Aurélie Fournet, Charlène Bouanchaud, Amin Sagar, Frédéric Allemand, Vladimir A. Baulin, Ute Resch‐Genger, Juan Cortés, Nathalie Sibille, Fabien Chirot, Karl David Wegner, Rodolphe Antoine, Xavier Le Guével, Pau Bernadó   +15 more
wiley   +1 more source

Prediction of Center-of-Mass Kinematics of Sensopro Exercises with Neural Network Models. [PDF]

Sensors (Basel)
Hegi H, Single M, Nef T, Kredel R.
europepmc   +1 more source

Diffusion of Carbamazepine in Hydrophobic Zeolites: A Comparative Study Using Classical and Machine‐Learned Potentials

Chemistry – A European Journal, EarlyView.
Can hydrophobic, shape‐selective zeolites efficiently remove the persistent pharmaceutical CBZ from water? This work moves beyond the static picture of interaction energies by modeling diffusion with umbrella sampling and machine‐learned potentials. Even high intrinsic diffusion barriers can be overcome through exergonic adsorption from water, yielding
Jakob Brauer, Richard Kendra, Carlos Bornes, Lukáš Grajciar, Michael Fischer   +4 more
wiley   +1 more source

Speed-dependent turning strategies in quadrupedal locomotion: insights from computational modeling. [PDF]

Front Bioeng Biotechnol
Molkov YI, Mohammed MAY, Stell T, Harralson A, Jeter R, Rybak IA.   +5 more
europepmc   +1 more source

Cation‐Directed Host–Guest Assembly and Reversible Wheel to Cluster Interconversion in a 20‐Molybdate System

Chemistry – A European Journal, EarlyView.
The polyoxo‐20‐molybdate(VI) wheel [MoVI20O60{AsO2(CH3)2}12]12− (Mo20) can be prepared with or without a central guest in a controlled, cation‐directed fashion. When Mo20 is dissolved in water, it exhibits an immediate, quantitative, and fully reversible solution transformation to a tetranuclear Mo4 cluster, which transforms in the solid state again to
Arun Pal, Alisher Kuanysh, Vinaya Siby, Jana Hölscher, Nikolai Kuhnert, Albert Masip‐Sánchez, Xavier López, Josep M. Poblet, Maria Boltoeva, Pierre Bauduin, Mohamed Haouas, Emmanuel Cadot, Ulrich Kortz   +12 more
wiley   +1 more source

Barriers to Adherence to Remote Pelvic Floor Muscle Training Among Postpartum Women: A Qualitative Study Guided by the COM-B Model. [PDF]

Patient Prefer Adherence
Zhou D, Ni X, Ding M, Shi H.
europepmc   +1 more source

Rationales for the Choice of Metals for Super‐Reduced Biological Metal Centers: Cobalt in Cobalamin Versus Nickel in F430

Chemistry – A European Journal, EarlyView.
DFT calculations on porphyrin, corrin, and corphin complexes of cobalt, rhodium, iron, manganese, or nickel, and QM/MM calculations on enzyme models, explore the factors controlling the availably of super‐reduced metal(I) states. True metal(I) states are seen in corrin only for cobalt, in corphin only for nickel, and not at all in porphyrin.
Radu‐Ioan Onija, Sergiu‐Raul Cosma, Adrian M. V. Brânzanic, Radu Silaghi‐Dumitrescu   +3 more
wiley   +1 more source

Personalized tremor control targeting for MR-guided focused ultrasound using tractography. [PDF]

Brain Commun
Shalem N, Sinai A, Zur G, Azhari H, Carmely G, Nassar M, Senderova I, Merhav G, Eran A, Schlesinger I, Lev-Tov L.   +10 more
europepmc   +1 more source